Overview

Dataset statistics

Number of variables750
Number of observations373
Missing cells0
Missing cells (%)0.0%
Total size in memory2.1 MiB
Average record size in memory5.9 KiB

Variable types

Numeric750

Alerts

p_1 has 366 (98.1%) zerosZeros
p_10 has 367 (98.4%) zerosZeros
p_13 has 372 (99.7%) zerosZeros
p_138 has 371 (99.5%) zerosZeros
p_139 has 372 (99.7%) zerosZeros
p_14 has 371 (99.5%) zerosZeros
p_142 has 371 (99.5%) zerosZeros
p_144 has 371 (99.5%) zerosZeros
p_146 has 371 (99.5%) zerosZeros
p_15 has 369 (98.9%) zerosZeros
p_154 has 372 (99.7%) zerosZeros
p_164 has 372 (99.7%) zerosZeros
p_167 has 372 (99.7%) zerosZeros
p_169 has 371 (99.5%) zerosZeros
p_17 has 371 (99.5%) zerosZeros
p_18 has 372 (99.7%) zerosZeros
p_180 has 372 (99.7%) zerosZeros
p_182 has 372 (99.7%) zerosZeros
p_188 has 372 (99.7%) zerosZeros
p_19 has 372 (99.7%) zerosZeros
p_190 has 372 (99.7%) zerosZeros
p_2 has 369 (98.9%) zerosZeros
p_207 has 372 (99.7%) zerosZeros
p_209 has 372 (99.7%) zerosZeros
p_21 has 372 (99.7%) zerosZeros
p_214 has 372 (99.7%) zerosZeros
p_216 has 372 (99.7%) zerosZeros
p_220 has 372 (99.7%) zerosZeros
p_232 has 370 (99.2%) zerosZeros
p_234 has 372 (99.7%) zerosZeros
p_236 has 367 (98.4%) zerosZeros
p_240 has 368 (98.7%) zerosZeros
p_246 has 371 (99.5%) zerosZeros
p_25 has 371 (99.5%) zerosZeros
p_250 has 370 (99.2%) zerosZeros
p_251 has 372 (99.7%) zerosZeros
p_260 has 372 (99.7%) zerosZeros
p_264 has 361 (96.8%) zerosZeros
p_27 has 372 (99.7%) zerosZeros
p_272 has 372 (99.7%) zerosZeros
p_28 has 351 (94.1%) zerosZeros
p_283 has 369 (98.9%) zerosZeros
p_284 has 369 (98.9%) zerosZeros
p_287 has 372 (99.7%) zerosZeros
p_289 has 372 (99.7%) zerosZeros
p_291 has 372 (99.7%) zerosZeros
p_292 has 371 (99.5%) zerosZeros
p_293 has 369 (98.9%) zerosZeros
p_294 has 372 (99.7%) zerosZeros
p_300 has 371 (99.5%) zerosZeros
p_302 has 372 (99.7%) zerosZeros
p_38 has 364 (97.6%) zerosZeros
p_42 has 371 (99.5%) zerosZeros
p_47 has 367 (98.4%) zerosZeros
p_48 has 370 (99.2%) zerosZeros
p_53 has 368 (98.7%) zerosZeros
p_54 has 371 (99.5%) zerosZeros
p_55 has 370 (99.2%) zerosZeros
p_7 has 363 (97.3%) zerosZeros
p_79 has 372 (99.7%) zerosZeros
p_8 has 362 (97.1%) zerosZeros
p_81 has 372 (99.7%) zerosZeros
p_82 has 366 (98.1%) zerosZeros
p_83 has 368 (98.7%) zerosZeros
p_9 has 356 (95.4%) zerosZeros
s_1 has 370 (99.2%) zerosZeros
s_10 has 371 (99.5%) zerosZeros
s_100 has 345 (92.5%) zerosZeros
s_1005 has 371 (99.5%) zerosZeros
s_1006 has 372 (99.7%) zerosZeros
s_101 has 358 (96.0%) zerosZeros
s_102 has 346 (92.8%) zerosZeros
s_103 has 368 (98.7%) zerosZeros
s_104 has 368 (98.7%) zerosZeros
s_1045 has 371 (99.5%) zerosZeros
s_105 has 366 (98.1%) zerosZeros
s_1050 has 372 (99.7%) zerosZeros
s_1051 has 372 (99.7%) zerosZeros
s_106 has 372 (99.7%) zerosZeros
s_1066 has 372 (99.7%) zerosZeros
s_1067 has 368 (98.7%) zerosZeros
s_107 has 356 (95.4%) zerosZeros
s_1072 has 372 (99.7%) zerosZeros
s_108 has 371 (99.5%) zerosZeros
s_1091 has 372 (99.7%) zerosZeros
s_1094 has 372 (99.7%) zerosZeros
s_1095 has 372 (99.7%) zerosZeros
s_1096 has 371 (99.5%) zerosZeros
s_110 has 368 (98.7%) zerosZeros
s_1102 has 370 (99.2%) zerosZeros
s_1104 has 371 (99.5%) zerosZeros
s_111 has 366 (98.1%) zerosZeros
s_1116 has 372 (99.7%) zerosZeros
s_112 has 360 (96.5%) zerosZeros
s_1123 has 372 (99.7%) zerosZeros
s_113 has 371 (99.5%) zerosZeros
s_1139 has 372 (99.7%) zerosZeros
s_1142 has 353 (94.6%) zerosZeros
s_115 has 371 (99.5%) zerosZeros
s_1150 has 368 (98.7%) zerosZeros
s_1156 has 372 (99.7%) zerosZeros
s_116 has 368 (98.7%) zerosZeros
s_1163 has 371 (99.5%) zerosZeros
s_1165 has 365 (97.9%) zerosZeros
s_1173 has 369 (98.9%) zerosZeros
s_1178 has 372 (99.7%) zerosZeros
s_118 has 370 (99.2%) zerosZeros
s_1184 has 372 (99.7%) zerosZeros
s_1185 has 372 (99.7%) zerosZeros
s_1186 has 371 (99.5%) zerosZeros
s_1190 has 361 (96.8%) zerosZeros
s_1191 has 367 (98.4%) zerosZeros
s_1192 has 368 (98.7%) zerosZeros
s_1193 has 364 (97.6%) zerosZeros
s_1194 has 372 (99.7%) zerosZeros
s_1195 has 365 (97.9%) zerosZeros
s_1197 has 367 (98.4%) zerosZeros
s_1198 has 370 (99.2%) zerosZeros
s_120 has 357 (95.7%) zerosZeros
s_1200 has 368 (98.7%) zerosZeros
s_1201 has 372 (99.7%) zerosZeros
s_1202 has 372 (99.7%) zerosZeros
s_1203 has 372 (99.7%) zerosZeros
s_1205 has 372 (99.7%) zerosZeros
s_1206 has 372 (99.7%) zerosZeros
s_1207 has 372 (99.7%) zerosZeros
s_1209 has 367 (98.4%) zerosZeros
s_121 has 367 (98.4%) zerosZeros
s_1210 has 372 (99.7%) zerosZeros
s_122 has 363 (97.3%) zerosZeros
s_1227 has 371 (99.5%) zerosZeros
s_124 has 371 (99.5%) zerosZeros
s_1243 has 371 (99.5%) zerosZeros
s_1244 has 372 (99.7%) zerosZeros
s_1245 has 371 (99.5%) zerosZeros
s_1246 has 372 (99.7%) zerosZeros
s_1247 has 369 (98.9%) zerosZeros
s_1249 has 368 (98.7%) zerosZeros
s_125 has 372 (99.7%) zerosZeros
s_1250 has 372 (99.7%) zerosZeros
s_1296 has 372 (99.7%) zerosZeros
s_1297 has 368 (98.7%) zerosZeros
s_13 has 337 (90.3%) zerosZeros
s_1301 has 366 (98.1%) zerosZeros
s_1304 has 370 (99.2%) zerosZeros
s_1310 has 368 (98.7%) zerosZeros
s_1311 has 370 (99.2%) zerosZeros
s_1312 has 372 (99.7%) zerosZeros
s_1313 has 369 (98.9%) zerosZeros
s_1314 has 366 (98.1%) zerosZeros
s_1315 has 371 (99.5%) zerosZeros
s_1317 has 371 (99.5%) zerosZeros
s_132 has 368 (98.7%) zerosZeros
s_1328 has 372 (99.7%) zerosZeros
s_1344 has 372 (99.7%) zerosZeros
s_1345 has 372 (99.7%) zerosZeros
s_1349 has 369 (98.9%) zerosZeros
s_136 has 372 (99.7%) zerosZeros
s_1365 has 372 (99.7%) zerosZeros
s_1367 has 370 (99.2%) zerosZeros
s_1369 has 372 (99.7%) zerosZeros
s_137 has 372 (99.7%) zerosZeros
s_1370 has 372 (99.7%) zerosZeros
s_1371 has 372 (99.7%) zerosZeros
s_1384 has 371 (99.5%) zerosZeros
s_1385 has 372 (99.7%) zerosZeros
s_1386 has 372 (99.7%) zerosZeros
s_1387 has 362 (97.1%) zerosZeros
s_139 has 372 (99.7%) zerosZeros
s_1392 has 370 (99.2%) zerosZeros
s_1393 has 371 (99.5%) zerosZeros
s_14 has 372 (99.7%) zerosZeros
s_1400 has 370 (99.2%) zerosZeros
s_1422 has 372 (99.7%) zerosZeros
s_1429 has 370 (99.2%) zerosZeros
s_143 has 369 (98.9%) zerosZeros
s_1430 has 372 (99.7%) zerosZeros
s_1431 has 371 (99.5%) zerosZeros
s_1432 has 370 (99.2%) zerosZeros
s_1433 has 371 (99.5%) zerosZeros
s_1434 has 371 (99.5%) zerosZeros
s_1436 has 370 (99.2%) zerosZeros
s_1440 has 368 (98.7%) zerosZeros
s_1442 has 365 (97.9%) zerosZeros
s_1447 has 370 (99.2%) zerosZeros
s_1449 has 372 (99.7%) zerosZeros
s_145 has 365 (97.9%) zerosZeros
s_1452 has 372 (99.7%) zerosZeros
s_1453 has 367 (98.4%) zerosZeros
s_1454 has 372 (99.7%) zerosZeros
s_1457 has 368 (98.7%) zerosZeros
s_1462 has 370 (99.2%) zerosZeros
s_1467 has 370 (99.2%) zerosZeros
s_1468 has 367 (98.4%) zerosZeros
s_1469 has 372 (99.7%) zerosZeros
s_147 has 368 (98.7%) zerosZeros
s_1470 has 359 (96.2%) zerosZeros
s_1471 has 369 (98.9%) zerosZeros
s_148 has 372 (99.7%) zerosZeros
s_1480 has 371 (99.5%) zerosZeros
s_1483 has 365 (97.9%) zerosZeros
s_1492 has 369 (98.9%) zerosZeros
s_15 has 369 (98.9%) zerosZeros
s_1508 has 369 (98.9%) zerosZeros
s_1509 has 369 (98.9%) zerosZeros
s_1514 has 354 (94.9%) zerosZeros
s_152 has 372 (99.7%) zerosZeros
s_1528 has 368 (98.7%) zerosZeros
s_153 has 370 (99.2%) zerosZeros
s_1531 has 366 (98.1%) zerosZeros
s_1532 has 368 (98.7%) zerosZeros
s_1535 has 370 (99.2%) zerosZeros
s_1536 has 371 (99.5%) zerosZeros
s_1538 has 371 (99.5%) zerosZeros
s_1543 has 362 (97.1%) zerosZeros
s_1544 has 371 (99.5%) zerosZeros
s_1547 has 371 (99.5%) zerosZeros
s_155 has 370 (99.2%) zerosZeros
s_1551 has 372 (99.7%) zerosZeros
s_1557 has 366 (98.1%) zerosZeros
s_1558 has 365 (97.9%) zerosZeros
s_156 has 320 (85.8%) zerosZeros
s_1563 has 369 (98.9%) zerosZeros
s_1565 has 372 (99.7%) zerosZeros
s_1569 has 371 (99.5%) zerosZeros
s_1570 has 370 (99.2%) zerosZeros
s_1571 has 359 (96.2%) zerosZeros
s_158 has 366 (98.1%) zerosZeros
s_1589 has 371 (99.5%) zerosZeros
s_159 has 371 (99.5%) zerosZeros
s_1591 has 368 (98.7%) zerosZeros
s_1598 has 367 (98.4%) zerosZeros
s_16 has 369 (98.9%) zerosZeros
s_1601 has 368 (98.7%) zerosZeros
s_1603 has 372 (99.7%) zerosZeros
s_161 has 370 (99.2%) zerosZeros
s_1610 has 372 (99.7%) zerosZeros
s_1616 has 372 (99.7%) zerosZeros
s_1617 has 368 (98.7%) zerosZeros
s_1618 has 372 (99.7%) zerosZeros
s_162 has 372 (99.7%) zerosZeros
s_1620 has 372 (99.7%) zerosZeros
s_1625 has 369 (98.9%) zerosZeros
s_1635 has 372 (99.7%) zerosZeros
s_1647 has 368 (98.7%) zerosZeros
s_1650 has 369 (98.9%) zerosZeros
s_1654 has 371 (99.5%) zerosZeros
s_1655 has 372 (99.7%) zerosZeros
s_1656 has 368 (98.7%) zerosZeros
s_1673 has 371 (99.5%) zerosZeros
s_1674 has 371 (99.5%) zerosZeros
s_1680 has 370 (99.2%) zerosZeros
s_1684 has 371 (99.5%) zerosZeros
s_1685 has 372 (99.7%) zerosZeros
s_169 has 366 (98.1%) zerosZeros
s_1695 has 371 (99.5%) zerosZeros
s_1696 has 372 (99.7%) zerosZeros
s_1697 has 372 (99.7%) zerosZeros
s_1698 has 372 (99.7%) zerosZeros
s_17 has 370 (99.2%) zerosZeros
s_170 has 370 (99.2%) zerosZeros
s_1713 has 363 (97.3%) zerosZeros
s_172 has 369 (98.9%) zerosZeros
s_1720 has 370 (99.2%) zerosZeros
s_1729 has 369 (98.9%) zerosZeros
s_173 has 369 (98.9%) zerosZeros
s_1733 has 372 (99.7%) zerosZeros
s_174 has 368 (98.7%) zerosZeros
s_175 has 367 (98.4%) zerosZeros
s_176 has 367 (98.4%) zerosZeros
s_1761 has 372 (99.7%) zerosZeros
s_1767 has 371 (99.5%) zerosZeros
s_177 has 371 (99.5%) zerosZeros
s_1772 has 371 (99.5%) zerosZeros
s_1776 has 372 (99.7%) zerosZeros
s_1779 has 372 (99.7%) zerosZeros
s_1780 has 372 (99.7%) zerosZeros
s_1781 has 370 (99.2%) zerosZeros
s_1782 has 368 (98.7%) zerosZeros
s_1783 has 371 (99.5%) zerosZeros
s_1788 has 367 (98.4%) zerosZeros
s_1789 has 367 (98.4%) zerosZeros
s_179 has 371 (99.5%) zerosZeros
s_1790 has 367 (98.4%) zerosZeros
s_1791 has 369 (98.9%) zerosZeros
s_1792 has 372 (99.7%) zerosZeros
s_1793 has 372 (99.7%) zerosZeros
s_1796 has 372 (99.7%) zerosZeros
s_1798 has 368 (98.7%) zerosZeros
s_180 has 371 (99.5%) zerosZeros
s_1800 has 372 (99.7%) zerosZeros
s_1801 has 372 (99.7%) zerosZeros
s_1802 has 371 (99.5%) zerosZeros
s_1803 has 369 (98.9%) zerosZeros
s_1805 has 371 (99.5%) zerosZeros
s_1807 has 366 (98.1%) zerosZeros
s_1808 has 356 (95.4%) zerosZeros
s_1810 has 364 (97.6%) zerosZeros
s_1819 has 372 (99.7%) zerosZeros
s_182 has 368 (98.7%) zerosZeros
s_1823 has 372 (99.7%) zerosZeros
s_1826 has 372 (99.7%) zerosZeros
s_1829 has 372 (99.7%) zerosZeros
s_183 has 372 (99.7%) zerosZeros
s_1830 has 369 (98.9%) zerosZeros
s_1831 has 365 (97.9%) zerosZeros
s_1840 has 366 (98.1%) zerosZeros
s_1842 has 368 (98.7%) zerosZeros
s_1843 has 368 (98.7%) zerosZeros
s_1844 has 370 (99.2%) zerosZeros
s_1845 has 371 (99.5%) zerosZeros
s_1846 has 372 (99.7%) zerosZeros
s_1847 has 369 (98.9%) zerosZeros
s_1848 has 370 (99.2%) zerosZeros
s_185 has 368 (98.7%) zerosZeros
s_1850 has 369 (98.9%) zerosZeros
s_1851 has 371 (99.5%) zerosZeros
s_1852 has 371 (99.5%) zerosZeros
s_1853 has 372 (99.7%) zerosZeros
s_1858 has 371 (99.5%) zerosZeros
s_186 has 372 (99.7%) zerosZeros
s_1860 has 366 (98.1%) zerosZeros
s_1864 has 372 (99.7%) zerosZeros
s_1868 has 372 (99.7%) zerosZeros
s_1875 has 372 (99.7%) zerosZeros
s_189 has 371 (99.5%) zerosZeros
s_1893 has 372 (99.7%) zerosZeros
s_19 has 370 (99.2%) zerosZeros
s_1900 has 372 (99.7%) zerosZeros
s_1905 has 371 (99.5%) zerosZeros
s_1911 has 370 (99.2%) zerosZeros
s_1912 has 367 (98.4%) zerosZeros
s_1915 has 372 (99.7%) zerosZeros
s_1918 has 372 (99.7%) zerosZeros
s_192 has 371 (99.5%) zerosZeros
s_1921 has 372 (99.7%) zerosZeros
s_1922 has 371 (99.5%) zerosZeros
s_1923 has 360 (96.5%) zerosZeros
s_1924 has 370 (99.2%) zerosZeros
s_1925 has 370 (99.2%) zerosZeros
s_1926 has 371 (99.5%) zerosZeros
s_1927 has 371 (99.5%) zerosZeros
s_1929 has 371 (99.5%) zerosZeros
s_1930 has 372 (99.7%) zerosZeros
s_1934 has 371 (99.5%) zerosZeros
s_1935 has 371 (99.5%) zerosZeros
s_1937 has 370 (99.2%) zerosZeros
s_1943 has 372 (99.7%) zerosZeros
s_1949 has 372 (99.7%) zerosZeros
s_1955 has 371 (99.5%) zerosZeros
s_1957 has 372 (99.7%) zerosZeros
s_1958 has 372 (99.7%) zerosZeros
s_1960 has 372 (99.7%) zerosZeros
s_1961 has 367 (98.4%) zerosZeros
s_1979 has 372 (99.7%) zerosZeros
s_1980 has 371 (99.5%) zerosZeros
s_1981 has 372 (99.7%) zerosZeros
s_1982 has 360 (96.5%) zerosZeros
s_1983 has 372 (99.7%) zerosZeros
s_1985 has 371 (99.5%) zerosZeros
s_1992 has 369 (98.9%) zerosZeros
s_1994 has 372 (99.7%) zerosZeros
s_1995 has 372 (99.7%) zerosZeros
s_1999 has 372 (99.7%) zerosZeros
s_2 has 372 (99.7%) zerosZeros
s_20 has 355 (95.2%) zerosZeros
s_2000 has 369 (98.9%) zerosZeros
s_2001 has 372 (99.7%) zerosZeros
s_2002 has 372 (99.7%) zerosZeros
s_2005 has 371 (99.5%) zerosZeros
s_2006 has 372 (99.7%) zerosZeros
s_2008 has 372 (99.7%) zerosZeros
s_201 has 370 (99.2%) zerosZeros
s_2010 has 372 (99.7%) zerosZeros
s_2017 has 372 (99.7%) zerosZeros
s_2018 has 371 (99.5%) zerosZeros
s_2019 has 368 (98.7%) zerosZeros
s_202 has 372 (99.7%) zerosZeros
s_2022 has 371 (99.5%) zerosZeros
s_2023 has 372 (99.7%) zerosZeros
s_203 has 369 (98.9%) zerosZeros
s_2033 has 370 (99.2%) zerosZeros
s_2034 has 356 (95.4%) zerosZeros
s_2043 has 371 (99.5%) zerosZeros
s_2045 has 365 (97.9%) zerosZeros
s_2048 has 370 (99.2%) zerosZeros
s_2051 has 369 (98.9%) zerosZeros
s_2053 has 372 (99.7%) zerosZeros
s_2055 has 371 (99.5%) zerosZeros
s_2056 has 363 (97.3%) zerosZeros
s_2057 has 372 (99.7%) zerosZeros
s_2059 has 369 (98.9%) zerosZeros
s_2060 has 369 (98.9%) zerosZeros
s_2062 has 370 (99.2%) zerosZeros
s_2063 has 372 (99.7%) zerosZeros
s_2064 has 372 (99.7%) zerosZeros
s_2066 has 372 (99.7%) zerosZeros
s_207 has 371 (99.5%) zerosZeros
s_2072 has 366 (98.1%) zerosZeros
s_2074 has 371 (99.5%) zerosZeros
s_2078 has 372 (99.7%) zerosZeros
s_208 has 368 (98.7%) zerosZeros
s_2080 has 372 (99.7%) zerosZeros
s_2081 has 372 (99.7%) zerosZeros
s_2083 has 372 (99.7%) zerosZeros
s_2084 has 372 (99.7%) zerosZeros
s_2088 has 368 (98.7%) zerosZeros
s_2091 has 372 (99.7%) zerosZeros
s_2092 has 372 (99.7%) zerosZeros
s_2093 has 372 (99.7%) zerosZeros
s_2094 has 371 (99.5%) zerosZeros
s_2096 has 372 (99.7%) zerosZeros
s_21 has 327 (87.7%) zerosZeros
s_2100 has 301 (80.7%) zerosZeros
s_2103 has 372 (99.7%) zerosZeros
s_2111 has 370 (99.2%) zerosZeros
s_2115 has 372 (99.7%) zerosZeros
s_2116 has 372 (99.7%) zerosZeros
s_212 has 372 (99.7%) zerosZeros
s_2122 has 372 (99.7%) zerosZeros
s_2126 has 372 (99.7%) zerosZeros
s_2129 has 372 (99.7%) zerosZeros
s_2130 has 369 (98.9%) zerosZeros
s_2134 has 371 (99.5%) zerosZeros
s_2135 has 371 (99.5%) zerosZeros
s_2139 has 368 (98.7%) zerosZeros
s_2140 has 370 (99.2%) zerosZeros
s_2141 has 369 (98.9%) zerosZeros
s_2142 has 356 (95.4%) zerosZeros
s_2143 has 372 (99.7%) zerosZeros
s_2144 has 364 (97.6%) zerosZeros
s_2145 has 372 (99.7%) zerosZeros
s_2146 has 372 (99.7%) zerosZeros
s_2147 has 370 (99.2%) zerosZeros
s_215 has 366 (98.1%) zerosZeros
s_2153 has 368 (98.7%) zerosZeros
s_2154 has 369 (98.9%) zerosZeros
s_2156 has 371 (99.5%) zerosZeros
s_2158 has 371 (99.5%) zerosZeros
s_216 has 358 (96.0%) zerosZeros
s_2161 has 372 (99.7%) zerosZeros
s_2162 has 372 (99.7%) zerosZeros
s_2163 has 367 (98.4%) zerosZeros
s_2165 has 372 (99.7%) zerosZeros
s_217 has 369 (98.9%) zerosZeros
s_2173 has 372 (99.7%) zerosZeros
s_2176 has 371 (99.5%) zerosZeros
s_2177 has 371 (99.5%) zerosZeros
s_2180 has 372 (99.7%) zerosZeros
s_2181 has 370 (99.2%) zerosZeros
s_219 has 370 (99.2%) zerosZeros
s_2193 has 372 (99.7%) zerosZeros
s_2194 has 369 (98.9%) zerosZeros
s_22 has 372 (99.7%) zerosZeros
s_220 has 360 (96.5%) zerosZeros
s_2204 has 372 (99.7%) zerosZeros
s_2205 has 371 (99.5%) zerosZeros
s_2207 has 369 (98.9%) zerosZeros
s_2209 has 372 (99.7%) zerosZeros
s_2211 has 371 (99.5%) zerosZeros
s_2237 has 372 (99.7%) zerosZeros
s_2238 has 372 (99.7%) zerosZeros
s_2241 has 372 (99.7%) zerosZeros
s_2247 has 372 (99.7%) zerosZeros
s_2248 has 369 (98.9%) zerosZeros
s_2253 has 372 (99.7%) zerosZeros
s_2256 has 372 (99.7%) zerosZeros
s_226 has 367 (98.4%) zerosZeros
s_2261 has 372 (99.7%) zerosZeros
s_2264 has 372 (99.7%) zerosZeros
s_2266 has 372 (99.7%) zerosZeros
s_2267 has 372 (99.7%) zerosZeros
s_227 has 353 (94.6%) zerosZeros
s_2276 has 372 (99.7%) zerosZeros
s_2278 has 369 (98.9%) zerosZeros
s_2280 has 372 (99.7%) zerosZeros
s_2282 has 369 (98.9%) zerosZeros
s_2283 has 370 (99.2%) zerosZeros
s_2285 has 371 (99.5%) zerosZeros
s_2289 has 372 (99.7%) zerosZeros
s_229 has 344 (92.2%) zerosZeros
s_2290 has 349 (93.6%) zerosZeros
s_2291 has 372 (99.7%) zerosZeros
s_2292 has 372 (99.7%) zerosZeros
s_2299 has 372 (99.7%) zerosZeros
s_23 has 370 (99.2%) zerosZeros
s_230 has 372 (99.7%) zerosZeros
s_2300 has 371 (99.5%) zerosZeros
s_2302 has 371 (99.5%) zerosZeros
s_2303 has 372 (99.7%) zerosZeros
s_2304 has 372 (99.7%) zerosZeros
s_2306 has 372 (99.7%) zerosZeros
s_2307 has 371 (99.5%) zerosZeros
s_2315 has 372 (99.7%) zerosZeros
s_233 has 370 (99.2%) zerosZeros
s_234 has 366 (98.1%) zerosZeros
s_236 has 372 (99.7%) zerosZeros
s_24 has 369 (98.9%) zerosZeros
s_241 has 347 (93.0%) zerosZeros
s_243 has 372 (99.7%) zerosZeros
s_245 has 367 (98.4%) zerosZeros
s_247 has 367 (98.4%) zerosZeros
s_25 has 371 (99.5%) zerosZeros
s_250 has 369 (98.9%) zerosZeros
s_252 has 372 (99.7%) zerosZeros
s_253 has 372 (99.7%) zerosZeros
s_254 has 347 (93.0%) zerosZeros
s_255 has 370 (99.2%) zerosZeros
s_256 has 369 (98.9%) zerosZeros
s_261 has 333 (89.3%) zerosZeros
s_263 has 371 (99.5%) zerosZeros
s_265 has 372 (99.7%) zerosZeros
s_266 has 372 (99.7%) zerosZeros
s_272 has 368 (98.7%) zerosZeros
s_274 has 371 (99.5%) zerosZeros
s_276 has 371 (99.5%) zerosZeros
s_277 has 367 (98.4%) zerosZeros
s_28 has 366 (98.1%) zerosZeros
s_280 has 372 (99.7%) zerosZeros
s_284 has 338 (90.6%) zerosZeros
s_285 has 367 (98.4%) zerosZeros
s_287 has 372 (99.7%) zerosZeros
s_290 has 372 (99.7%) zerosZeros
s_291 has 372 (99.7%) zerosZeros
s_297 has 371 (99.5%) zerosZeros
s_299 has 363 (97.3%) zerosZeros
s_30 has 367 (98.4%) zerosZeros
s_300 has 370 (99.2%) zerosZeros
s_301 has 371 (99.5%) zerosZeros
s_302 has 372 (99.7%) zerosZeros
s_305 has 311 (83.4%) zerosZeros
s_306 has 370 (99.2%) zerosZeros
s_309 has 359 (96.2%) zerosZeros
s_31 has 370 (99.2%) zerosZeros
s_310 has 367 (98.4%) zerosZeros
s_311 has 371 (99.5%) zerosZeros
s_313 has 372 (99.7%) zerosZeros
s_316 has 368 (98.7%) zerosZeros
s_317 has 370 (99.2%) zerosZeros
s_319 has 359 (96.2%) zerosZeros
s_32 has 370 (99.2%) zerosZeros
s_320 has 357 (95.7%) zerosZeros
s_322 has 370 (99.2%) zerosZeros
s_323 has 370 (99.2%) zerosZeros
s_325 has 370 (99.2%) zerosZeros
s_328 has 369 (98.9%) zerosZeros
s_329 has 361 (96.8%) zerosZeros
s_330 has 371 (99.5%) zerosZeros
s_331 has 363 (97.3%) zerosZeros
s_332 has 364 (97.6%) zerosZeros
s_334 has 372 (99.7%) zerosZeros
s_335 has 372 (99.7%) zerosZeros
s_336 has 372 (99.7%) zerosZeros
s_338 has 370 (99.2%) zerosZeros
s_34 has 371 (99.5%) zerosZeros
s_343 has 372 (99.7%) zerosZeros
s_345 has 372 (99.7%) zerosZeros
s_346 has 371 (99.5%) zerosZeros
s_35 has 372 (99.7%) zerosZeros
s_350 has 370 (99.2%) zerosZeros
s_351 has 372 (99.7%) zerosZeros
s_352 has 371 (99.5%) zerosZeros
s_358 has 371 (99.5%) zerosZeros
s_359 has 372 (99.7%) zerosZeros
s_362 has 369 (98.9%) zerosZeros
s_369 has 366 (98.1%) zerosZeros
s_37 has 370 (99.2%) zerosZeros
s_370 has 361 (96.8%) zerosZeros
s_371 has 372 (99.7%) zerosZeros
s_373 has 370 (99.2%) zerosZeros
s_38 has 372 (99.7%) zerosZeros
s_380 has 372 (99.7%) zerosZeros
s_381 has 372 (99.7%) zerosZeros
s_382 has 372 (99.7%) zerosZeros
s_383 has 372 (99.7%) zerosZeros
s_385 has 372 (99.7%) zerosZeros
s_386 has 370 (99.2%) zerosZeros
s_388 has 367 (98.4%) zerosZeros
s_389 has 372 (99.7%) zerosZeros
s_39 has 363 (97.3%) zerosZeros
s_393 has 364 (97.6%) zerosZeros
s_398 has 371 (99.5%) zerosZeros
s_400 has 371 (99.5%) zerosZeros
s_402 has 372 (99.7%) zerosZeros
s_404 has 368 (98.7%) zerosZeros
s_407 has 369 (98.9%) zerosZeros
s_408 has 367 (98.4%) zerosZeros
s_410 has 371 (99.5%) zerosZeros
s_415 has 371 (99.5%) zerosZeros
s_417 has 338 (90.6%) zerosZeros
s_418 has 357 (95.7%) zerosZeros
s_419 has 372 (99.7%) zerosZeros
s_420 has 372 (99.7%) zerosZeros
s_424 has 369 (98.9%) zerosZeros
s_425 has 372 (99.7%) zerosZeros
s_426 has 372 (99.7%) zerosZeros
s_427 has 372 (99.7%) zerosZeros
s_43 has 371 (99.5%) zerosZeros
s_430 has 371 (99.5%) zerosZeros
s_433 has 368 (98.7%) zerosZeros
s_435 has 371 (99.5%) zerosZeros
s_437 has 367 (98.4%) zerosZeros
s_44 has 357 (95.7%) zerosZeros
s_47 has 367 (98.4%) zerosZeros
s_471 has 372 (99.7%) zerosZeros
s_474 has 360 (96.5%) zerosZeros
s_478 has 369 (98.9%) zerosZeros
s_48 has 371 (99.5%) zerosZeros
s_480 has 372 (99.7%) zerosZeros
s_483 has 368 (98.7%) zerosZeros
s_484 has 371 (99.5%) zerosZeros
s_485 has 371 (99.5%) zerosZeros
s_486 has 371 (99.5%) zerosZeros
s_487 has 372 (99.7%) zerosZeros
s_488 has 352 (94.4%) zerosZeros
s_489 has 370 (99.2%) zerosZeros
s_492 has 361 (96.8%) zerosZeros
s_493 has 361 (96.8%) zerosZeros
s_50 has 352 (94.4%) zerosZeros
s_503 has 371 (99.5%) zerosZeros
s_505 has 371 (99.5%) zerosZeros
s_509 has 371 (99.5%) zerosZeros
s_51 has 370 (99.2%) zerosZeros
s_510 has 371 (99.5%) zerosZeros
s_518 has 368 (98.7%) zerosZeros
s_52 has 366 (98.1%) zerosZeros
s_525 has 370 (99.2%) zerosZeros
s_526 has 372 (99.7%) zerosZeros
s_528 has 371 (99.5%) zerosZeros
s_529 has 372 (99.7%) zerosZeros
s_53 has 365 (97.9%) zerosZeros
s_530 has 372 (99.7%) zerosZeros
s_531 has 372 (99.7%) zerosZeros
s_532 has 370 (99.2%) zerosZeros
s_533 has 358 (96.0%) zerosZeros
s_534 has 366 (98.1%) zerosZeros
s_538 has 371 (99.5%) zerosZeros
s_539 has 371 (99.5%) zerosZeros
s_54 has 372 (99.7%) zerosZeros
s_540 has 344 (92.2%) zerosZeros
s_542 has 365 (97.9%) zerosZeros
s_543 has 363 (97.3%) zerosZeros
s_545 has 372 (99.7%) zerosZeros
s_55 has 370 (99.2%) zerosZeros
s_550 has 372 (99.7%) zerosZeros
s_551 has 366 (98.1%) zerosZeros
s_553 has 368 (98.7%) zerosZeros
s_554 has 370 (99.2%) zerosZeros
s_555 has 371 (99.5%) zerosZeros
s_556 has 367 (98.4%) zerosZeros
s_557 has 372 (99.7%) zerosZeros
s_558 has 369 (98.9%) zerosZeros
s_56 has 371 (99.5%) zerosZeros
s_561 has 371 (99.5%) zerosZeros
s_562 has 371 (99.5%) zerosZeros
s_563 has 370 (99.2%) zerosZeros
s_567 has 372 (99.7%) zerosZeros
s_568 has 372 (99.7%) zerosZeros
s_57 has 372 (99.7%) zerosZeros
s_571 has 372 (99.7%) zerosZeros
s_575 has 370 (99.2%) zerosZeros
s_578 has 371 (99.5%) zerosZeros
s_579 has 368 (98.7%) zerosZeros
s_580 has 368 (98.7%) zerosZeros
s_581 has 370 (99.2%) zerosZeros
s_582 has 372 (99.7%) zerosZeros
s_583 has 370 (99.2%) zerosZeros
s_59 has 368 (98.7%) zerosZeros
s_593 has 370 (99.2%) zerosZeros
s_594 has 363 (97.3%) zerosZeros
s_598 has 370 (99.2%) zerosZeros
s_60 has 371 (99.5%) zerosZeros
s_603 has 372 (99.7%) zerosZeros
s_605 has 371 (99.5%) zerosZeros
s_606 has 371 (99.5%) zerosZeros
s_607 has 372 (99.7%) zerosZeros
s_608 has 372 (99.7%) zerosZeros
s_609 has 371 (99.5%) zerosZeros
s_610 has 371 (99.5%) zerosZeros
s_611 has 372 (99.7%) zerosZeros
s_612 has 372 (99.7%) zerosZeros
s_614 has 371 (99.5%) zerosZeros
s_616 has 363 (97.3%) zerosZeros
s_622 has 371 (99.5%) zerosZeros
s_623 has 372 (99.7%) zerosZeros
s_630 has 372 (99.7%) zerosZeros
s_631 has 365 (97.9%) zerosZeros
s_64 has 372 (99.7%) zerosZeros
s_640 has 372 (99.7%) zerosZeros
s_642 has 366 (98.1%) zerosZeros
s_646 has 370 (99.2%) zerosZeros
s_65 has 370 (99.2%) zerosZeros
s_650 has 365 (97.9%) zerosZeros
s_651 has 369 (98.9%) zerosZeros
s_659 has 370 (99.2%) zerosZeros
s_660 has 369 (98.9%) zerosZeros
s_663 has 372 (99.7%) zerosZeros
s_665 has 372 (99.7%) zerosZeros
s_67 has 370 (99.2%) zerosZeros
s_670 has 372 (99.7%) zerosZeros
s_671 has 371 (99.5%) zerosZeros
s_672 has 371 (99.5%) zerosZeros
s_673 has 372 (99.7%) zerosZeros
s_68 has 365 (97.9%) zerosZeros
s_690 has 371 (99.5%) zerosZeros
s_691 has 372 (99.7%) zerosZeros
s_694 has 370 (99.2%) zerosZeros
s_697 has 370 (99.2%) zerosZeros
s_698 has 372 (99.7%) zerosZeros
s_700 has 350 (93.8%) zerosZeros
s_706 has 372 (99.7%) zerosZeros
s_71 has 367 (98.4%) zerosZeros
s_715 has 372 (99.7%) zerosZeros
s_716 has 370 (99.2%) zerosZeros
s_717 has 372 (99.7%) zerosZeros
s_72 has 363 (97.3%) zerosZeros
s_721 has 372 (99.7%) zerosZeros
s_743 has 372 (99.7%) zerosZeros
s_75 has 370 (99.2%) zerosZeros
s_750 has 370 (99.2%) zerosZeros
s_762 has 372 (99.7%) zerosZeros
s_763 has 369 (98.9%) zerosZeros
s_766 has 372 (99.7%) zerosZeros
s_776 has 372 (99.7%) zerosZeros
s_777 has 371 (99.5%) zerosZeros
s_790 has 372 (99.7%) zerosZeros
s_791 has 372 (99.7%) zerosZeros
s_793 has 372 (99.7%) zerosZeros
s_799 has 371 (99.5%) zerosZeros
s_8 has 347 (93.0%) zerosZeros
s_801 has 372 (99.7%) zerosZeros
s_81 has 363 (97.3%) zerosZeros
s_830 has 372 (99.7%) zerosZeros
s_84 has 372 (99.7%) zerosZeros
s_842 has 372 (99.7%) zerosZeros
s_85 has 372 (99.7%) zerosZeros
s_857 has 371 (99.5%) zerosZeros
s_87 has 372 (99.7%) zerosZeros
s_88 has 342 (91.7%) zerosZeros
s_9 has 359 (96.2%) zerosZeros
s_90 has 370 (99.2%) zerosZeros
s_917 has 369 (98.9%) zerosZeros
s_92 has 362 (97.1%) zerosZeros
s_936 has 371 (99.5%) zerosZeros
s_959 has 372 (99.7%) zerosZeros
s_962 has 365 (97.9%) zerosZeros
s_965 has 371 (99.5%) zerosZeros
s_967 has 367 (98.4%) zerosZeros
s_98 has 282 (75.6%) zerosZeros
s_99 has 353 (94.6%) zerosZeros

Reproduction

Analysis started2023-05-30 13:22:53.873511
Analysis finished2023-05-30 13:22:57.106765
Duration3.23 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

p_1
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:57.168768image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:22:57.307762image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

p_10
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-30T15:22:57.437792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)-23.66434753
Kurtosis59.76842808
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-2.518376402
Sum-2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-30T15:22:57.546765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
-1 4
 
1.1%
1 2
 
0.5%
ValueCountFrequency (%)
-1 4
 
1.1%
0 367
98.4%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 367
98.4%
-1 4
 
1.1%

p_13
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:57.636714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:22:57.718156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_138
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:57.804441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:22:57.888065image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_139
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:22:57.971384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:22:58.054383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_14
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:58.139757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:22:58.341728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_142
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:22:58.426555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:22:58.510564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_144
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:58.600561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:22:58.684588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_146
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:58.769592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:22:58.855207image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_15
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:58.940586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:22:59.030586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

p_154
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:59.119588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:22:59.206594image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_164
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:59.291898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:22:59.374249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_167
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:59.459720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:22:59.540571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_169
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:22:59.627413image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:22:59.717385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_17
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:59.813411image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:22:59.904414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_18
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:22:59.992383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:00.075384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_180
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:00.162412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:00.243800image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_182
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:00.327809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:00.413809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_188
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:00.497601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:00.582574image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_19
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:00.668021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:00.750505image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_190
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:00.835471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:00.916471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_2
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:00.999475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:01.081499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

p_207
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:01.167392image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:01.250840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_209
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:01.334913image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:01.416935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_21
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:01.500512image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:01.582509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_214
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:01.667319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:01.748306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_216
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:01.834994image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:01.915869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_220
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:01.999874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:02.081633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_232
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:02.168052image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:23:02.252013image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

p_234
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:02.340894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:02.423440image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_236
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:02.508471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:23:02.593552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

p_240
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:02.682553image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:23:02.769550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

p_246
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:02.860006image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:02.944973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_25
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:03.033134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:03.116135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

p_250
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:03.201137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:23:03.289387image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

p_251
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:03.381386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:03.465270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_260
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:03.552285image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:03.640277image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_264
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros361
Zeros (%)96.8%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-30T15:23:03.728308image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1795250315
Coefficient of variation (CV)33.48141837
Kurtosis28.42871982
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness0.8441034032
Sum2
Variance0.03222923693
MonotonicityNot monotonic
2023-05-30T15:23:03.813465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 361
96.8%
1 7
 
1.9%
-1 5
 
1.3%
ValueCountFrequency (%)
-1 5
 
1.3%
0 361
96.8%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 361
96.8%
-1 5
 
1.3%

p_27
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:03.908466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:04.001325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_272
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:04.091330image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:04.215308image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_28
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum1
Zeros351
Zeros (%)94.1%
Negative12
Negative (%)3.2%
Memory size13.9 KiB
2023-05-30T15:23:04.306279image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2431274509
Coefficient of variation (CV)-45.34326959
Kurtosis14.14587865
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-0.3095849725
Sum-2
Variance0.05911095736
MonotonicityNot monotonic
2023-05-30T15:23:04.394361image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 351
94.1%
-1 12
 
3.2%
1 10
 
2.7%
ValueCountFrequency (%)
-1 12
 
3.2%
0 351
94.1%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 351
94.1%
-1 12
 
3.2%

p_283
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01072386059
Minimum-1
Maximum0
Zeros369
Zeros (%)98.9%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-30T15:23:04.488925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)-9.617587217
Kurtosis89.47174301
Mean-0.01072386059
Median Absolute Deviation (MAD)0
Skewness-9.538973932
Sum-4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:04.736315image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 369
98.9%
ValueCountFrequency (%)
0 369
98.9%
-1 4
 
1.1%

p_284
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:04.825948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:23:04.928189image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

p_287
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:05.025761image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:05.113101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_289
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:05.198973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:05.282381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_291
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:05.368381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:05.453385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

p_292
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:05.540411image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:05.625715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_293
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:05.717571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-30T15:23:05.803598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 2
 
0.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

p_294
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:05.892596image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:05.975596image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_300
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:06.060626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:06.146525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_302
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:06.237529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:06.326528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_38
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01340482574
Minimum-1
Maximum1
Zeros364
Zeros (%)97.6%
Negative7
Negative (%)1.9%
Memory size13.9 KiB
2023-05-30T15:23:06.412526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1549624987
Coefficient of variation (CV)-11.5602024
Kurtosis38.38943522
Mean-0.01340482574
Median Absolute Deviation (MAD)0
Skewness-3.3699049
Sum-5
Variance0.024013376
MonotonicityNot monotonic
2023-05-30T15:23:06.498526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 364
97.6%
-1 7
 
1.9%
1 2
 
0.5%
ValueCountFrequency (%)
-1 7
 
1.9%
0 364
97.6%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 364
97.6%
-1 7
 
1.9%

p_42
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:06.588255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:06.671254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_47
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-30T15:23:06.762253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)-23.66434753
Kurtosis59.76842808
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-2.518376402
Sum-2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-30T15:23:06.846253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
-1 4
 
1.1%
1 2
 
0.5%
ValueCountFrequency (%)
-1 4
 
1.1%
0 367
98.4%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 367
98.4%
-1 4
 
1.1%

p_48
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:06.938839image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:23:07.023255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

p_53
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:07.116252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:23:07.201252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

p_54
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:07.293252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:07.378252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

p_55
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:07.476870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)-33.48141837
Kurtosis122.7715924
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-3.646749094
Sum-1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:23:07.562879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
-1 2
 
0.5%
1 1
 
0.3%
ValueCountFrequency (%)
-1 2
 
0.5%
0 370
99.2%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 370
99.2%
-1 2
 
0.5%

p_7
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:07.658388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1631633298
Coefficient of variation (CV)10.14332034
Kurtosis34.09244767
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness3.434829468
Sum6
Variance0.02662227219
MonotonicityNot monotonic
2023-05-30T15:23:07.746388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 8
 
2.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 363
97.3%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 363
97.3%
-1 2
 
0.5%

p_79
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:07.845427image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:07.936326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_8
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01340482574
Minimum-1
Maximum1
Zeros362
Zeros (%)97.1%
Negative8
Negative (%)2.1%
Memory size13.9 KiB
2023-05-30T15:23:08.023326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1714343025
Coefficient of variation (CV)-12.78899897
Kurtosis30.95585293
Mean-0.01340482574
Median Absolute Deviation (MAD)0
Skewness-2.445738884
Sum-5
Variance0.02938972008
MonotonicityNot monotonic
2023-05-30T15:23:08.111267image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 362
97.1%
-1 8
 
2.1%
1 3
 
0.8%
ValueCountFrequency (%)
-1 8
 
2.1%
0 362
97.1%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 362
97.1%
-1 8
 
2.1%

p_81
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:08.213238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:08.310238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

p_82
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:08.407239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-30T15:23:08.507238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

p_83
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:08.603956image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:23:08.691962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

p_9
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros356
Zeros (%)95.4%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-30T15:23:08.782963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2129455021
Coefficient of variation (CV)11.34695318
Kurtosis18.91094223
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness1.692722883
Sum7
Variance0.04534578685
MonotonicityNot monotonic
2023-05-30T15:23:08.871963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356
95.4%
1 12
 
3.2%
-1 5
 
1.3%
ValueCountFrequency (%)
-1 5
 
1.3%
0 356
95.4%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 356
95.4%
-1 5
 
1.3%

s_1
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:08.964363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:09.047298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_10
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:09.131394image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:09.213399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_100
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07506702413
Minimum0
Maximum1
Zeros345
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:09.303401image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2638533894
Coefficient of variation (CV)3.51490408
Kurtosis8.53258004
Mean0.07506702413
Median Absolute Deviation (MAD)0
Skewness3.238341722
Sum28
Variance0.06961861109
MonotonicityNot monotonic
2023-05-30T15:23:09.401403image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 345
92.5%
1 28
 
7.5%
ValueCountFrequency (%)
0 345
92.5%
1 28
 
7.5%
ValueCountFrequency (%)
1 28
 
7.5%
0 345
92.5%

s_1005
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:09.511675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:09.609685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1006
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:09.698682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:09.781710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_101
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03485254692
Minimum-1
Maximum1
Zeros358
Zeros (%)96.0%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:09.871435image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1977488693
Coefficient of variation (CV)5.673871403
Kurtosis20.72793119
Mean0.03485254692
Median Absolute Deviation (MAD)0
Skewness4.006420153
Sum13
Variance0.0391046153
MonotonicityNot monotonic
2023-05-30T15:23:09.957868image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 358
96.0%
1 14
 
3.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 358
96.0%
1 14
 
3.8%
ValueCountFrequency (%)
1 14
 
3.8%
0 358
96.0%
-1 1
 
0.3%

s_102
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03485254692
Minimum-1
Maximum1
Zeros346
Zeros (%)92.8%
Negative7
Negative (%)1.9%
Memory size13.9 KiB
2023-05-30T15:23:10.049988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2671379415
Coefficient of variation (CV)7.664804015
Kurtosis10.59195194
Mean0.03485254692
Median Absolute Deviation (MAD)0
Skewness1.447265774
Sum13
Variance0.07136267981
MonotonicityNot monotonic
2023-05-30T15:23:10.136989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 346
92.8%
1 20
 
5.4%
-1 7
 
1.9%
ValueCountFrequency (%)
-1 7
 
1.9%
0 346
92.8%
1 20
 
5.4%
ValueCountFrequency (%)
1 20
 
5.4%
0 346
92.8%
-1 7
 
1.9%

s_103
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:10.230582image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:10.316053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_104
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:10.404642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:10.489924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1045
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:10.574896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:10.664428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_105
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:10.757400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:23:10.861402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1050
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:11.194405image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:11.324402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1051
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:11.449627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:11.556628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_106
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:11.686627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:11.809075image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1066
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:11.919067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:12.020069image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1067
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:12.124078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:12.211080image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_107
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros356
Zeros (%)95.4%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:23:12.300088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2117236179
Coefficient of variation (CV)7.179355406
Kurtosis18.44280143
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness2.709554942
Sum11
Variance0.04482689037
MonotonicityNot monotonic
2023-05-30T15:23:12.384115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356
95.4%
1 14
 
3.8%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 356
95.4%
1 14
 
3.8%
ValueCountFrequency (%)
1 14
 
3.8%
0 356
95.4%
-1 3
 
0.8%

s_1072
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:12.473115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:12.560088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_108
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:12.659090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:12.758090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1091
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:12.859089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:12.954088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1094
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:13.041857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:13.128886image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1095
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:13.215858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:13.301541image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1096
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:13.387538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:13.470207image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_110
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:13.561217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:23:13.645195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1102
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:13.736223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:23:13.821317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_1104
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:13.912323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:13.993353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_111
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:14.079140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:23:14.160493image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1116
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:14.246464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:14.329021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_112
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros360
Zeros (%)96.5%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-30T15:23:14.412909image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1864566013
Coefficient of variation (CV)13.90966246
Kurtosis25.78415988
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness1.867413939
Sum5
Variance0.03476606417
MonotonicityNot monotonic
2023-05-30T15:23:14.499881image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 360
96.5%
1 9
 
2.4%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 360
96.5%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 360
96.5%
-1 4
 
1.1%

s_1123
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:14.589215image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:14.670883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_113
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:14.753814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:14.835955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1139
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:14.920177image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:15.003510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1142
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04825737265
Minimum-1
Maximum1
Zeros353
Zeros (%)94.6%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:15.086980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0.4
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2267783206
Coefficient of variation (CV)4.699350755
Kurtosis14.32708747
Mean0.04825737265
Median Absolute Deviation (MAD)0
Skewness3.51964789
Sum18
Variance0.0514284067
MonotonicityNot monotonic
2023-05-30T15:23:15.172467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 353
94.6%
1 19
 
5.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 353
94.6%
1 19
 
5.1%
ValueCountFrequency (%)
1 19
 
5.1%
0 353
94.6%
-1 1
 
0.3%

s_115
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:15.262931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:15.346297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1150
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:15.433619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:23:15.518963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_1156
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:15.608554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:15.690128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_116
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:23:15.775399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)-43.232057
Kurtosis72.50746401
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-1.666024859
Sum-1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:23:15.860759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
-1 3
 
0.8%
1 2
 
0.5%
ValueCountFrequency (%)
-1 3
 
0.8%
0 368
98.7%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 368
98.7%
-1 3
 
0.8%

s_1163
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:15.949426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:16.037812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1165
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:16.130816image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1457598302
Coefficient of variation (CV)9.061402778
Kurtosis43.13116301
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness4.902147849
Sum6
Variance0.0212459281
MonotonicityNot monotonic
2023-05-30T15:23:16.216055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
1 7
 
1.9%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 365
97.9%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 365
97.9%
-1 1
 
0.3%

s_1173
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:16.305272image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:23:16.389770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1178
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:16.478799image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:16.561804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_118
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:16.644825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:16.725629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1184
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:16.808737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:16.892766image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1185
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:16.979735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:17.062763image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1186
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:17.149688image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:17.230805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1190
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03217158177
Minimum0
Maximum1
Zeros361
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:17.316338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1766925906
Coefficient of variation (CV)5.49219469
Kurtosis26.48633171
Mean0.03217158177
Median Absolute Deviation (MAD)0
Skewness5.323940329
Sum12
Variance0.03122027156
MonotonicityNot monotonic
2023-05-30T15:23:17.398357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 361
96.8%
1 12
 
3.2%
ValueCountFrequency (%)
0 361
96.8%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 361
96.8%

s_1191
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:17.483346image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:23:17.567694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_1192
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:17.655067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:23:17.741748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1193
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros364
Zeros (%)97.6%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:17.831749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1544034019
Coefficient of variation (CV)8.227495556
Kurtosis37.79974349
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness4.771076183
Sum7
Variance0.0238404105
MonotonicityNot monotonic
2023-05-30T15:23:18.080720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 364
97.6%
1 8
 
2.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 364
97.6%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 364
97.6%
-1 1
 
0.3%

s_1194
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:18.169235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:18.251239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1195
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:18.335235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-30T15:23:18.419521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_1197
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:18.507527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)23.66434753
Kurtosis59.76842808
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness2.518376402
Sum2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-30T15:23:18.642526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 4
 
1.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 367
98.4%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 367
98.4%
-1 2
 
0.5%

s_1198
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:18.748530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:18.843528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_120
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03753351206
Minimum-1
Maximum1
Zeros357
Zeros (%)95.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:18.935530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2039563707
Coefficient of variation (CV)5.433980449
Kurtosis19.12729147
Mean0.03753351206
Median Absolute Deviation (MAD)0
Skewness3.898385782
Sum14
Variance0.04159820116
MonotonicityNot monotonic
2023-05-30T15:23:19.026532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 357
95.7%
1 15
 
4.0%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 357
95.7%
1 15
 
4.0%
ValueCountFrequency (%)
1 15
 
4.0%
0 357
95.7%
-1 1
 
0.3%

s_1200
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:19.122529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:19.216532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1201
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:19.344527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:19.465534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1202
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:19.588529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:19.674556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1203
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:19.765528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:19.853528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1205
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:19.952531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:20.043556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1206
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:20.132528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:20.222528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1207
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:20.311532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:20.402528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1209
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:20.497528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:23:20.593530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_121
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:20.684531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:23:20.773526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_1210
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:20.861527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:20.946556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_122
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:21.045526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.162543776
Coefficient of variation (CV)7.578603556
Kurtosis33.53307464
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness4.634367912
Sum8
Variance0.02642047911
MonotonicityNot monotonic
2023-05-30T15:23:21.139529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 9
 
2.4%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 363
97.3%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 363
97.3%
-1 1
 
0.3%

s_1227
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:21.246528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:21.336531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_124
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:21.429531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:21.519528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_1243
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:21.610530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:21.698075image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1244
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:21.787078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:21.872089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1245
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:21.959119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:22.057093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1246
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:22.153092image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:22.248116image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1247
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:22.341093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:22.430089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1249
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:22.522167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:23:22.616139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_125
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:22.713009image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:22.798007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1250
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:22.890008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:22.978008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1296
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:23.066799image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:23.153810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1297
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:23.247839image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:23.343807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_13
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04289544236
Minimum-1
Maximum1
Zeros337
Zeros (%)90.3%
Negative10
Negative (%)2.7%
Memory size13.9 KiB
2023-05-30T15:23:23.439809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3081058719
Coefficient of variation (CV)7.182718138
Kurtosis7.176253326
Mean0.04289544236
Median Absolute Deviation (MAD)0
Skewness1.055827199
Sum16
Variance0.09492922829
MonotonicityNot monotonic
2023-05-30T15:23:23.538807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 337
90.3%
1 26
 
7.0%
-1 10
 
2.7%
ValueCountFrequency (%)
-1 10
 
2.7%
0 337
90.3%
1 26
 
7.0%
ValueCountFrequency (%)
1 26
 
7.0%
0 337
90.3%
-1 10
 
2.7%

s_1301
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:23.658806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:23:23.754807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1304
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:23.874808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:23.982807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1310
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:23:24.102808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)-43.232057
Kurtosis72.50746401
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-1.666024859
Sum-1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:23:24.251808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
-1 3
 
0.8%
1 2
 
0.5%
ValueCountFrequency (%)
-1 3
 
0.8%
0 368
98.7%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 368
98.7%
-1 3
 
0.8%

s_1311
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:24.386808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:24.484906image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1312
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:24.580917image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:24.671917image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1313
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:24.766915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:24.860916image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1314
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:24.959916image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:23:25.049911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1315
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:25.146428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:25.239140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1317
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:25.330138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:25.614139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_132
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:25.722139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:25.806502image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1328
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:25.892031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:25.975571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1344
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:26.062544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:26.148150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1345
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:26.231411image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:26.312446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1349
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:26.398300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:26.481106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_136
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:26.566633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:26.650434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1365
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:26.736675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:26.817704image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1367
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:26.905944image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:26.988970image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1369
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:27.075629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:27.160215image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_137
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:27.252597image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:27.339116image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1370
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:27.426006image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:27.509873image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1371
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:27.594873image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:27.681608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1384
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:27.767984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:27.850983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1385
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:27.936983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:28.019982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1386
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:28.110686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:28.192684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1387
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros362
Zeros (%)97.1%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:28.278649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1709290923
Coefficient of variation (CV)9.108078775
Kurtosis30.57179918
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness3.455792195
Sum7
Variance0.02921675459
MonotonicityNot monotonic
2023-05-30T15:23:28.364418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 362
97.1%
1 9
 
2.4%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 362
97.1%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 362
97.1%
-1 2
 
0.5%

s_139
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:28.455373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:28.537284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1392
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:28.623291image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:28.707291image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1393
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:28.791322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:28.900291image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_14
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:28.986319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:29.091294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1400
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:29.229294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:29.365296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1422
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:29.520296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:29.652293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1429
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:29.771293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:29.870292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_143
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:29.958608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:30.044910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1430
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:30.133936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:30.215855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1431
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:30.301772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:30.387743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1432
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:30.474051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:30.557080image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1433
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:30.642158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:30.724156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1434
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:30.807155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:30.891155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1436
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:30.976158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:31.059158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1440
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:31.149642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:23:31.235683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_1442
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:31.325651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-30T15:23:31.409653image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_1447
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:31.497513image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:31.578002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1449
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:31.692003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:31.795004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_145
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:31.888522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1462534308
Coefficient of variation (CV)13.63813242
Kurtosis43.75099202
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness3.234127418
Sum4
Variance0.02139006602
MonotonicityNot monotonic
2023-05-30T15:23:31.977453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
1 6
 
1.6%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 365
97.9%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 365
97.9%
-1 2
 
0.5%

s_1452
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:32.068471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:32.153477image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1453
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:32.239481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)23.66434753
Kurtosis59.76842808
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness2.518376402
Sum2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-30T15:23:32.325280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 4
 
1.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 367
98.4%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 367
98.4%
-1 2
 
0.5%

s_1454
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:32.416794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:32.670704image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1457
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:32.758704image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:32.840199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1462
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:32.950494image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:33.036079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1467
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:33.127115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:33.212116image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1468
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:33.300073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:23:33.384121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_1469
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:33.479003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:33.597002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_147
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:33.713000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:23:33.814001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1470
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03753351206
Minimum0
Maximum1
Zeros359
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:33.938999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1903204063
Coefficient of variation (CV)5.070679398
Kurtosis21.99158617
Mean0.03753351206
Median Absolute Deviation (MAD)0
Skewness4.886071627
Sum14
Variance0.03622185707
MonotonicityNot monotonic
2023-05-30T15:23:34.035001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 359
96.2%
1 14
 
3.8%
ValueCountFrequency (%)
0 359
96.2%
1 14
 
3.8%
ValueCountFrequency (%)
1 14
 
3.8%
0 359
96.2%

s_1471
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:34.125823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:23:34.212829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_148
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:34.303830image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:34.386828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1480
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:34.472829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:34.556825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1483
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:34.641404image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-30T15:23:34.725437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_1492
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:34.808771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:34.890770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_15
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:34.975203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:35.067090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1508
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:23:35.158889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)-19.31320792
Kurtosis90.99401735
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-4.711068406
Sum-2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:23:35.241924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
-1 3
 
0.8%
1 1
 
0.3%
ValueCountFrequency (%)
-1 3
 
0.8%
0 369
98.9%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 369
98.9%
-1 3
 
0.8%

s_1509
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:35.331943image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:23:35.415848image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1514
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03485254692
Minimum-1
Maximum1
Zeros354
Zeros (%)94.9%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:23:35.509710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2232874906
Coefficient of variation (CV)6.406633385
Kurtosis16.01556002
Mean0.03485254692
Median Absolute Deviation (MAD)0
Skewness2.68141487
Sum13
Variance0.04985730347
MonotonicityNot monotonic
2023-05-30T15:23:35.594062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 354
94.9%
1 16
 
4.3%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 354
94.9%
1 16
 
4.3%
ValueCountFrequency (%)
1 16
 
4.3%
0 354
94.9%
-1 3
 
0.8%

s_152
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:35.684836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:35.768961image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1528
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:35.853207image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:23:35.938675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_153
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:36.027647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:36.110319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1531
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:36.194199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1369391918
Coefficient of variation (CV)17.02610618
Kurtosis50.62813511
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness2.980048439
Sum3
Variance0.01875234224
MonotonicityNot monotonic
2023-05-30T15:23:36.282479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 5
 
1.3%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 366
98.1%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 366
98.1%
-1 2
 
0.5%

s_1532
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:36.371515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:23:36.457312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_1535
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:36.545809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:36.628420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1536
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:36.711728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:36.795108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1538
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:36.878301image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:36.959096image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1543
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros362
Zeros (%)97.1%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-30T15:23:37.046036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1719380283
Coefficient of variation (CV)64.13288456
Kurtosis31.32843658
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness0.4846777576
Sum1
Variance0.02956268558
MonotonicityNot monotonic
2023-05-30T15:23:37.140066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 362
97.1%
1 6
 
1.6%
-1 5
 
1.3%
ValueCountFrequency (%)
-1 5
 
1.3%
0 362
97.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 362
97.1%
-1 5
 
1.3%

s_1544
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:37.242385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:37.334584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1547
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:37.422156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:37.508880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_155
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:37.597003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:37.680032image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1551
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:37.763514image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:37.846182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1557
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:37.929888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:23:38.012892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1558
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-30T15:23:38.095772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1465487931
Coefficient of variation (CV)-27.33134991
Kurtosis44.11279114
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-1.607009793
Sum-2
Variance0.02147654876
MonotonicityNot monotonic
2023-05-30T15:23:38.180597image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
-1 5
 
1.3%
1 3
 
0.8%
ValueCountFrequency (%)
-1 5
 
1.3%
0 365
97.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 365
97.9%
-1 5
 
1.3%

s_156
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09383378016
Minimum-1
Maximum1
Zeros320
Zeros (%)85.8%
Negative9
Negative (%)2.4%
Memory size13.9 KiB
2023-05-30T15:23:38.269412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3655744401
Coefficient of variation (CV)3.895979033
Kurtosis3.48785667
Mean0.09383378016
Median Absolute Deviation (MAD)0
Skewness1.144898398
Sum35
Variance0.1336446712
MonotonicityNot monotonic
2023-05-30T15:23:38.354186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 320
85.8%
1 44
 
11.8%
-1 9
 
2.4%
ValueCountFrequency (%)
-1 9
 
2.4%
0 320
85.8%
1 44
 
11.8%
ValueCountFrequency (%)
1 44
 
11.8%
0 320
85.8%
-1 9
 
2.4%

s_1563
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:38.446419image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:23:38.532391image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1565
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:38.620549image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:38.701579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1569
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:38.786577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:38.869009image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1570
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:38.954338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:23:39.037341image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_1571
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros359
Zeros (%)96.2%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:23:39.129485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1928034421
Coefficient of variation (CV)8.989460488
Kurtosis23.37246959
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness2.679827273
Sum8
Variance0.03717316729
MonotonicityNot monotonic
2023-05-30T15:23:39.213228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 359
96.2%
1 11
 
2.9%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 359
96.2%
1 11
 
2.9%
ValueCountFrequency (%)
1 11
 
2.9%
0 359
96.2%
-1 3
 
0.8%

s_158
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:39.302689image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-30T15:23:39.386443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_1589
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:39.474478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:39.727696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_159
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:39.810547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:39.892548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1591
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:39.977122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:23:40.061415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_1598
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:40.152415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-30T15:23:40.236608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_16
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:40.325950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-30T15:23:40.409909image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
-1 2
 
0.5%
1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

s_1601
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:40.500329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:23:40.586510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1603
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:40.676883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:40.759744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_161
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:40.844826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)-33.48141837
Kurtosis122.7715924
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-3.646749094
Sum-1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:23:40.933324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
-1 2
 
0.5%
1 1
 
0.3%
ValueCountFrequency (%)
-1 2
 
0.5%
0 370
99.2%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 370
99.2%
-1 2
 
0.5%

s_1610
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:41.022752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:41.104951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1616
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:41.194414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:41.276083image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1617
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:41.360083image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:41.442084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1618
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:41.529459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:41.610765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_162
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:41.694221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:41.777969image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1620
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:41.860995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:41.943997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1625
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:42.027968image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:23:42.112999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1635
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:42.205156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:42.287338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1647
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:42.370886image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:23:42.458064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1650
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:42.548030image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:23:42.632992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1654
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:42.721993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:42.803994image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1655
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:42.888995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:42.970322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1656
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:43.056179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:23:43.140088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1673
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:43.231448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:43.313449image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1674
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:43.397509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:43.484708image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1680
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:43.575238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:43.658302image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1684
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:43.741248image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:43.824286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1685
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:43.907741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:43.989647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_169
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:44.072980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-30T15:23:44.156980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_1695
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:44.245820image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:44.326500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1696
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:44.410404image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:44.491405image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1697
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:44.576136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:44.656827image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1698
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:44.740580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:44.823600image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_17
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:44.906601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:44.988602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_170
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:45.071441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:45.155426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1713
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:45.241426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1631633298
Coefficient of variation (CV)10.14332034
Kurtosis34.09244767
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness3.434829468
Sum6
Variance0.02662227219
MonotonicityNot monotonic
2023-05-30T15:23:45.328335image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 8
 
2.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 363
97.3%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 363
97.3%
-1 2
 
0.5%

s_172
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:45.416265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:45.499137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1720
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:45.583418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:23:45.667509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_1729
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:45.926510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-30T15:23:46.013811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 2
 
0.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

s_173
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:46.107255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:23:46.193268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1733
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:46.281273image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:46.362115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_174
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:46.446672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:23:46.529680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_175
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01608579088
Minimum-1
Maximum0
Zeros367
Zeros (%)98.4%
Negative6
Negative (%)1.6%
Memory size13.9 KiB
2023-05-30T15:23:46.620028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)-7.831417061
Kurtosis57.97326854
Mean-0.01608579088
Median Absolute Deviation (MAD)0
Skewness-7.724146831
Sum-6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:23:46.703057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
-1 6
 
1.6%
ValueCountFrequency (%)
-1 6
 
1.6%
0 367
98.4%
ValueCountFrequency (%)
0 367
98.4%
-1 6
 
1.6%

s_176
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:46.788929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-30T15:23:46.871958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_1761
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:46.960958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:47.040933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1767
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:47.134257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:47.215300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_177
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:47.298602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:47.381501image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1772
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:47.465509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:47.547438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1776
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:47.632610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:47.715639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1779
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:47.798886image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:47.882919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1780
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:47.965866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:48.047886image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1781
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:48.131693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:48.212729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1782
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:48.297952image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:48.379571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1783
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:48.463838image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:48.544524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1788
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:23:48.632524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.127000127
Coefficient of variation (CV)nan
Kurtosis59.98376921
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01612903226
MonotonicityNot monotonic
2023-05-30T15:23:48.714523image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 3
 
0.8%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 367
98.4%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 367
98.4%
-1 3
 
0.8%

s_1789
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:48.805250image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-30T15:23:48.890016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_179
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:48.978841image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:49.064378image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1790
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:49.153242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:23:49.236290image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_1791
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:49.319730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:23:49.407280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1792
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:49.496084image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:49.583861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1793
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:49.677590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:49.765147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1796
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:49.852980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:49.932640image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1798
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:50.017076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:50.097992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_180
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:50.183329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:50.267484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1800
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:50.353637image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:50.435054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1801
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:50.518345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:50.603352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1802
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:50.687298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:50.768925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1803
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:50.862924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-30T15:23:50.947229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
-1 2
 
0.5%
1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

s_1805
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:51.036227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:51.119226image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1807
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:51.202279image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:23:51.285182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1808
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03485254692
Minimum-1
Maximum1
Zeros356
Zeros (%)95.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:23:51.372562image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2109050957
Coefficient of variation (CV)6.051353899
Kurtosis18.114748
Mean0.03485254692
Median Absolute Deviation (MAD)0
Skewness3.242213596
Sum13
Variance0.04448095938
MonotonicityNot monotonic
2023-05-30T15:23:51.456314image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356
95.4%
1 15
 
4.0%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 356
95.4%
1 15
 
4.0%
ValueCountFrequency (%)
1 15
 
4.0%
0 356
95.4%
-1 2
 
0.5%

s_1810
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02412868633
Minimum0
Maximum1
Zeros364
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:51.548872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1536547749
Coefficient of variation (CV)6.368136782
Kurtosis36.97905329
Mean0.02412868633
Median Absolute Deviation (MAD)0
Skewness6.227423235
Sum9
Variance0.02360978985
MonotonicityNot monotonic
2023-05-30T15:23:51.634179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 364
97.6%
1 9
 
2.4%
ValueCountFrequency (%)
0 364
97.6%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 364
97.6%

s_1819
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:51.718178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:51.802179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_182
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:51.889209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:23:51.973908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_1823
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:52.066026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:52.149608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1826
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:52.232608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:52.317608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1829
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:52.400644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:52.669531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_183
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:52.753761image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:52.834335image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1830
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:52.919674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:53.001674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1831
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:53.084674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-30T15:23:53.167923image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_1840
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:53.256923image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-30T15:23:53.341526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_1842
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:53.429528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:53.513317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1843
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:53.597723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:53.680806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1844
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:53.765767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:53.846325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1845
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:53.934320image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:54.017350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1846
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:54.105374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:54.188187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1847
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:54.272552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:54.355551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1848
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:54.439191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:23:54.524082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_185
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:54.612823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:23:54.701351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_1850
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:54.786644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:23:54.869850image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_1851
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:54.954166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:55.037020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1852
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:55.120394image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:55.201429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1853
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:55.288496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:55.376831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1858
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:55.463359image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:55.543386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_186
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:55.630500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:55.711514image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1860
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:55.794919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:23:55.881927image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_1864
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:55.973951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:56.056669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1868
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:56.141326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:56.224342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1875
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:56.308742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:56.390580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_189
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:56.475194image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:56.558676image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1893
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:56.649677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:56.730675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_19
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:56.815257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:56.896550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1900
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:56.981548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:57.063525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1905
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:57.148526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:57.230564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1911
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:57.323535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:57.409337image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1912
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:57.497315image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:23:57.579476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_1915
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:57.664399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:57.747395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1918
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:57.830535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:57.912506image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_192
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:57.998949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:58.081826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1921
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:58.171861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:58.252621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1922
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:58.339443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:58.426444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1923
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros360
Zeros (%)96.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:58.512445image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1845919884
Coefficient of variation (CV)6.259346517
Kurtosis24.66832794
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness4.240592638
Sum11
Variance0.0340742022
MonotonicityNot monotonic
2023-05-30T15:23:58.597305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 360
96.5%
1 12
 
3.2%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 360
96.5%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 360
96.5%
-1 1
 
0.3%

s_1924
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:58.686700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:58.770212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1925
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:58.858905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:23:58.943274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1926
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:59.025906image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:59.108255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1927
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:59.191700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:59.273736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1929
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:59.533086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:23:59.614551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1930
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:23:59.704811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:23:59.789808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1934
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:23:59.876118image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:23:59.960382image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_1935
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:00.050796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:00.132792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1937
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:00.217934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:00.298961image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_1943
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:00.384935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:00.466961image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1949
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:00.551812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:00.642840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1955
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:00.729128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:00.811025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1957
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:00.894984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:00.978999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1958
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:01.063323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:01.150621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1960
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:01.236601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:01.320891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1961
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:01.405525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-30T15:24:01.493148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_1979
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:01.581560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:01.664560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_1980
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:01.753434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:01.839906image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1981
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:01.946446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:02.028763image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1982
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros360
Zeros (%)96.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:02.114769image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1845919884
Coefficient of variation (CV)6.259346517
Kurtosis24.66832794
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness4.240592638
Sum11
Variance0.0340742022
MonotonicityNot monotonic
2023-05-30T15:24:02.197769image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 360
96.5%
1 12
 
3.2%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 360
96.5%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 360
96.5%
-1 1
 
0.3%

s_1983
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:02.287770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:02.370945image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1985
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:02.455973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:02.540364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_1992
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:02.626740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1035560746
Coefficient of variation (CV)19.31320792
Kurtosis90.99401735
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness4.711068406
Sum2
Variance0.01072386059
MonotonicityNot monotonic
2023-05-30T15:24:02.714707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 3
 
0.8%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 369
98.9%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 369
98.9%
-1 1
 
0.3%

s_1994
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:02.804707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:02.887710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1995
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:02.972733image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:03.056759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_1999
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:03.141428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:03.222402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:03.308062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:03.393337image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_20
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04289544236
Minimum-1
Maximum1
Zeros355
Zeros (%)95.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:03.480458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2157362545
Coefficient of variation (CV)5.029351433
Kurtosis16.46006428
Mean0.04289544236
Median Absolute Deviation (MAD)0
Skewness3.699041203
Sum16
Variance0.04654213151
MonotonicityNot monotonic
2023-05-30T15:24:03.563796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 355
95.2%
1 17
 
4.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 355
95.2%
1 17
 
4.6%
ValueCountFrequency (%)
1 17
 
4.6%
0 355
95.2%
-1 1
 
0.3%

s_2000
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:03.658907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:03.743374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2001
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:03.827266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:03.910266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2002
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:03.993939image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:04.082709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2005
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:04.169276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:04.253293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_2006
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:04.337293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:04.421328image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_2008
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:04.505295image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:04.589617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_201
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:04.677140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:04.762138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2010
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:04.848396image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:04.929048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2017
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:05.015049image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:05.095217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2018
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:05.178511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:05.260511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2019
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:05.347298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:24:05.435331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_202
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:05.527801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:05.609744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2022
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:05.695320image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:05.783410image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2023
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:05.869216image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:05.952650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_203
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:06.036079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:06.117079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2033
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:06.389427image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:06.474490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2034
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02412868633
Minimum-1
Maximum1
Zeros356
Zeros (%)95.4%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-30T15:24:06.559405image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2124033102
Coefficient of variation (CV)8.80293719
Kurtosis18.70634591
Mean0.02412868633
Median Absolute Deviation (MAD)0
Skewness2.19423468
Sum9
Variance0.04511516619
MonotonicityNot monotonic
2023-05-30T15:24:06.641739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356
95.4%
1 13
 
3.5%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 356
95.4%
1 13
 
3.5%
ValueCountFrequency (%)
1 13
 
3.5%
0 356
95.4%
-1 4
 
1.1%

s_2043
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:06.738083image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:06.825083image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2045
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:06.913738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1462534308
Coefficient of variation (CV)13.63813242
Kurtosis43.75099202
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness3.234127418
Sum4
Variance0.02139006602
MonotonicityNot monotonic
2023-05-30T15:24:06.999101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
1 6
 
1.6%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 365
97.9%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 365
97.9%
-1 2
 
0.5%

s_2048
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:07.088466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:07.171472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2051
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:07.255287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:07.338676image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2053
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:07.422067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityIncreasing
2023-05-30T15:24:07.504271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2055
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:07.588795image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:07.675803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_2056
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum0
Maximum1
Zeros363
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:07.765463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1617437197
Coefficient of variation (CV)6.033040746
Kurtosis32.7813734
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness5.882654865
Sum10
Variance0.02616103087
MonotonicityNot monotonic
2023-05-30T15:24:07.847755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 363
97.3%
1 10
 
2.7%
ValueCountFrequency (%)
0 363
97.3%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 363
97.3%

s_2057
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:07.930294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:08.014293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2059
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:08.097322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:08.180439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2060
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:08.262733image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:08.344332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2062
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:08.430910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:24:08.514437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_2063
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:08.605382image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:08.685886image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2064
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:08.772429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:08.853400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2066
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:08.936737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:09.021636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_207
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:09.104813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:09.190815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_2072
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:09.276831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:24:09.359837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_2074
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:09.443836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:09.526838image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2078
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:09.610567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:09.693278image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_208
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:09.780469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:24:09.861505image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_2080
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:09.947510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:10.031516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_2081
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:10.117622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:10.199771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2083
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:10.284336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:10.366479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_2084
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:10.450469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:10.533475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2088
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:24:10.617446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)-43.232057
Kurtosis72.50746401
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-1.666024859
Sum-1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:24:10.703475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
-1 3
 
0.8%
1 2
 
0.5%
ValueCountFrequency (%)
-1 3
 
0.8%
0 368
98.7%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 368
98.7%
-1 3
 
0.8%

s_2091
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:10.791536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:10.875510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2092
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:10.958782image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:11.041072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2093
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:11.126045image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:11.208660image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2094
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:11.292764image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:11.374735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2096
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:11.462688image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:11.544410image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_21
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08042895442
Minimum-1
Maximum1
Zeros327
Zeros (%)87.7%
Negative8
Negative (%)2.1%
Memory size13.9 KiB
2023-05-30T15:24:11.630437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3423006105
Coefficient of variation (CV)4.255937591
Kurtosis4.554603078
Mean0.08042895442
Median Absolute Deviation (MAD)0
Skewness1.299801914
Sum30
Variance0.117169708
MonotonicityNot monotonic
2023-05-30T15:24:11.713421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 327
87.7%
1 38
 
10.2%
-1 8
 
2.1%
ValueCountFrequency (%)
-1 8
 
2.1%
0 327
87.7%
1 38
 
10.2%
ValueCountFrequency (%)
1 38
 
10.2%
0 327
87.7%
-1 8
 
2.1%

s_2100
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1769436997
Minimum-1
Maximum1
Zeros301
Zeros (%)80.7%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:24:11.809592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4026849265
Coefficient of variation (CV)2.275779964
Kurtosis0.8941546034
Mean0.1769436997
Median Absolute Deviation (MAD)0
Skewness1.320878678
Sum66
Variance0.16215515
MonotonicityNot monotonic
2023-05-30T15:24:11.894601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 301
80.7%
1 69
 
18.5%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 301
80.7%
1 69
 
18.5%
ValueCountFrequency (%)
1 69
 
18.5%
0 301
80.7%
-1 3
 
0.8%

s_2103
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:11.988601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:12.073599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2111
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:12.163601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:24:12.252769image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_2115
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:12.350438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:12.433744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2116
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:12.516996image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:12.600066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_212
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:12.687759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:12.770799image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2122
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:12.854740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:12.938711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2126
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:13.029788image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:13.112788image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2129
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:13.199431image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:13.475244image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2130
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:13.559297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-30T15:24:13.644152image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
-1 2
 
0.5%
1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

s_2134
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:13.732005image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:13.820037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2135
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:13.903197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:13.986199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2139
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:14.072048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:24:14.157329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_2140
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:14.246565image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:14.328492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2141
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:14.417491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:14.503441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2142
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03485254692
Minimum-1
Maximum1
Zeros356
Zeros (%)95.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:14.591957image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2109050957
Coefficient of variation (CV)6.051353899
Kurtosis18.114748
Mean0.03485254692
Median Absolute Deviation (MAD)0
Skewness3.242213596
Sum13
Variance0.04448095938
MonotonicityNot monotonic
2023-05-30T15:24:14.677131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356
95.4%
1 15
 
4.0%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 356
95.4%
1 15
 
4.0%
ValueCountFrequency (%)
1 15
 
4.0%
0 356
95.4%
-1 2
 
0.5%

s_2143
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:14.767917image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:14.850103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2144
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros364
Zeros (%)97.6%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:14.940140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1549624987
Coefficient of variation (CV)11.5602024
Kurtosis38.38943522
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness3.3699049
Sum5
Variance0.024013376
MonotonicityNot monotonic
2023-05-30T15:24:15.026704image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 364
97.6%
1 7
 
1.9%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 364
97.6%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 364
97.6%
-1 2
 
0.5%

s_2145
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:15.117314image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:15.199277image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2146
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:15.283927image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:15.369071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2147
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:15.458107image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:15.541830image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_215
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:15.626835image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-30T15:24:15.711838image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_2153
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:15.803415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:24:15.886420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_2154
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:15.970754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:16.054353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2156
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:16.139212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:16.224652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2158
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:16.313357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:16.400358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_216
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros358
Zeros (%)96.0%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:16.485130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1986216158
Coefficient of variation (CV)6.735078428
Kurtosis21.16365419
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness3.342938184
Sum11
Variance0.03945054628
MonotonicityNot monotonic
2023-05-30T15:24:16.573129image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 358
96.0%
1 13
 
3.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 358
96.0%
1 13
 
3.5%
ValueCountFrequency (%)
1 13
 
3.5%
0 358
96.0%
-1 2
 
0.5%

s_2161
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:16.663130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:16.747356image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2162
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:16.835483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:16.919457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2163
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:17.005544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:24:17.090519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_2165
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:17.175752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:17.256180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_217
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:17.340891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:17.427888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2173
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:17.516148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:17.597870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2176
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:17.681364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:17.763901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2177
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:17.848186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:17.932331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2180
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:18.016253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:18.098217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2181
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:18.183927image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:18.265957image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_219
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:18.352385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:18.432384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2193
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:18.521061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:18.610827image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2194
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:18.702853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:18.785862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_22
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:18.871101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:18.954212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_220
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros360
Zeros (%)96.5%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:24:19.038537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1859922006
Coefficient of variation (CV)9.91072726
Kurtosis25.51589655
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness2.635026297
Sum7
Variance0.03459309868
MonotonicityNot monotonic
2023-05-30T15:24:19.127714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 360
96.5%
1 10
 
2.7%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 360
96.5%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 360
96.5%
-1 3
 
0.8%

s_2204
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:19.215609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:19.297609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2205
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:19.381424image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:19.463990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2207
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:19.549793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:19.631975image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2209
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:19.720772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:19.803809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2211
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:19.893186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:20.154765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2237
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:20.237089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:20.319325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2238
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:20.401323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:20.486327image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2241
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:20.571508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:20.654508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2247
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:20.736536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:20.820401image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2248
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros369
Zeros (%)98.9%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:20.906951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1036951695
Coefficient of variation (CV)nan
Kurtosis91.48782691
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01075268817
MonotonicityNot monotonic
2023-05-30T15:24:20.993183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 369
98.9%
1 2
 
0.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 369
98.9%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 369
98.9%
-1 2
 
0.5%

s_2253
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:21.080597image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:21.165415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2256
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:21.247693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:21.329705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_226
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:21.413545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:24:21.497955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_2261
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:21.585657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:21.666669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2264
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:21.750957image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:21.832962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2266
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:21.917182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:21.998867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2267
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:22.082003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:22.165684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_227
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum-1
Maximum1
Zeros353
Zeros (%)94.6%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-30T15:24:22.249447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2303101198
Coefficient of variation (CV)8.59056747
Kurtosis15.43715333
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness1.859652368
Sum10
Variance0.0530427513
MonotonicityNot monotonic
2023-05-30T15:24:22.334602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 353
94.6%
1 15
 
4.0%
-1 5
 
1.3%
ValueCountFrequency (%)
-1 5
 
1.3%
0 353
94.6%
1 15
 
4.0%
ValueCountFrequency (%)
1 15
 
4.0%
0 353
94.6%
-1 5
 
1.3%

s_2276
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:22.422602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:22.506602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2278
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:22.590624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:22.675873image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2280
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:22.762412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:22.847444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2282
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:22.931389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:23.015796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_2283
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:23.100109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:23.181414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_2285
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:23.266265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:23.347205image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2289
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:23.432380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:23.513379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_229
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0563002681
Minimum-1
Maximum1
Zeros344
Zeros (%)92.2%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-30T15:24:23.599270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2734570319
Coefficient of variation (CV)4.857117757
Kurtosis9.097001342
Mean0.0563002681
Median Absolute Deviation (MAD)0
Skewness2.145740112
Sum21
Variance0.07477874831
MonotonicityNot monotonic
2023-05-30T15:24:23.685807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 344
92.2%
1 25
 
6.7%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 344
92.2%
1 25
 
6.7%
ValueCountFrequency (%)
1 25
 
6.7%
0 344
92.2%
-1 4
 
1.1%

s_2290
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05361930295
Minimum-1
Maximum1
Zeros349
Zeros (%)93.6%
Negative22
Negative (%)5.9%
Memory size13.9 KiB
2023-05-30T15:24:23.778805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2482606912
Coefficient of variation (CV)-4.630061891
Kurtosis11.44185843
Mean-0.05361930295
Median Absolute Deviation (MAD)0
Skewness-2.871040695
Sum-20
Variance0.06163337081
MonotonicityNot monotonic
2023-05-30T15:24:23.864805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 349
93.6%
-1 22
 
5.9%
1 2
 
0.5%
ValueCountFrequency (%)
-1 22
 
5.9%
0 349
93.6%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 349
93.6%
-1 22
 
5.9%

s_2291
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:23.953804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:24.036497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2292
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:24.120827image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:24.204105image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2299
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:24.286991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:24.369928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_23
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:24.454714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:24.535213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_230
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:24.620166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:24.700138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2300
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:24.783164image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:24.865164image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_2302
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:24.950950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:25.034472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2303
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:25.125039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:25.207763image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2304
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:25.289759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:25.371791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2306
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:25.454791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:25.536940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_2307
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:25.619846image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:25.701881image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_2315
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:25.785320image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:25.866321image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_233
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:25.951321image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:26.032321image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_234
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:26.119158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:24:26.201158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_236
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:26.284945image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:26.364948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_24
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:26.447892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:26.530380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_241
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04825737265
Minimum-1
Maximum1
Zeros347
Zeros (%)93.0%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-30T15:24:26.614884image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.259918139
Coefficient of variation (CV)5.386081435
Kurtosis10.67256283
Mean0.04825737265
Median Absolute Deviation (MAD)0
Skewness2.204032425
Sum18
Variance0.06755743896
MonotonicityNot monotonic
2023-05-30T15:24:26.698999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 347
93.0%
1 22
 
5.9%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 347
93.0%
1 22
 
5.9%
ValueCountFrequency (%)
1 22
 
5.9%
0 347
93.0%
-1 4
 
1.1%

s_243
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:26.786879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:27.050093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_245
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:27.134094image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-30T15:24:27.218807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_247
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:27.307806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)23.66434753
Kurtosis59.76842808
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness2.518376402
Sum2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-30T15:24:27.393483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 4
 
1.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 367
98.4%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 367
98.4%
-1 2
 
0.5%

s_25
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:27.486631image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:27.571880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_250
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:27.660917image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:27.744189image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_252
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:27.827203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:27.910630image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_253
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:27.994206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:28.073824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_254
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04825737265
Minimum-1
Maximum1
Zeros347
Zeros (%)93.0%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-30T15:24:28.160826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.259918139
Coefficient of variation (CV)5.386081435
Kurtosis10.67256283
Mean0.04825737265
Median Absolute Deviation (MAD)0
Skewness2.204032425
Sum18
Variance0.06755743896
MonotonicityNot monotonic
2023-05-30T15:24:28.243108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 347
93.0%
1 22
 
5.9%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 347
93.0%
1 22
 
5.9%
ValueCountFrequency (%)
1 22
 
5.9%
0 347
93.0%
-1 4
 
1.1%

s_255
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:28.333061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:28.413095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_256
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:28.498369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:28.580554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_261
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06434316354
Minimum-1
Maximum1
Zeros333
Zeros (%)89.3%
Negative8
Negative (%)2.1%
Memory size13.9 KiB
2023-05-30T15:24:28.667531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3215209323
Coefficient of variation (CV)4.996971155
Kurtosis5.871202308
Mean0.06434316354
Median Absolute Deviation (MAD)0
Skewness1.33985149
Sum24
Variance0.1033757099
MonotonicityNot monotonic
2023-05-30T15:24:28.750343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 333
89.3%
1 32
 
8.6%
-1 8
 
2.1%
ValueCountFrequency (%)
-1 8
 
2.1%
0 333
89.3%
1 32
 
8.6%
ValueCountFrequency (%)
1 32
 
8.6%
0 333
89.3%
-1 8
 
2.1%

s_263
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:28.843352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:28.928658image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_265
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:29.017697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:29.102121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_266
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:29.187106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:29.269349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_272
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:29.352793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:24:29.437821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_274
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:29.525815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:29.609737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_276
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:29.694515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:29.776933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_277
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:29.863650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1268865819
Coefficient of variation (CV)23.66434753
Kurtosis59.76842808
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness2.518376402
Sum2
Variance0.01610020468
MonotonicityNot monotonic
2023-05-30T15:24:29.951823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 4
 
1.1%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 367
98.4%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 367
98.4%
-1 2
 
0.5%

s_28
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum0
Maximum1
Zeros366
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:30.043828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1358825464
Coefficient of variation (CV)7.240598544
Kurtosis48.97492369
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness7.121260324
Sum7
Variance0.01846406642
MonotonicityNot monotonic
2023-05-30T15:24:30.125545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
0 366
98.1%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 366
98.1%

s_280
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:30.213516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:30.295517image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_284
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07774798928
Minimum-1
Maximum1
Zeros338
Zeros (%)90.6%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:24:30.381336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2966901116
Coefficient of variation (CV)3.816048677
Kurtosis6.56908626
Mean0.07774798928
Median Absolute Deviation (MAD)0
Skewness2.192569626
Sum29
Variance0.08802502234
MonotonicityNot monotonic
2023-05-30T15:24:30.464971image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 338
90.6%
1 32
 
8.6%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 338
90.6%
1 32
 
8.6%
ValueCountFrequency (%)
1 32
 
8.6%
0 338
90.6%
-1 3
 
0.8%

s_285
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:24:30.553766image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.127000127
Coefficient of variation (CV)nan
Kurtosis59.98376921
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01612903226
MonotonicityNot monotonic
2023-05-30T15:24:30.638801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 3
 
0.8%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 367
98.4%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 367
98.4%
-1 3
 
0.8%

s_287
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:30.727499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:30.811945image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_290
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:30.896914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:30.980911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_291
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:31.064068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:31.147026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_297
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:31.239025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:31.323025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_299
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01072386059
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative7
Negative (%)1.9%
Memory size13.9 KiB
2023-05-30T15:24:31.411055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1636044318
Coefficient of variation (CV)-15.25611326
Kurtosis34.47894408
Mean-0.01072386059
Median Absolute Deviation (MAD)0
Skewness-2.270704821
Sum-4
Variance0.0267664101
MonotonicityNot monotonic
2023-05-30T15:24:31.502028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
-1 7
 
1.9%
1 3
 
0.8%
ValueCountFrequency (%)
-1 7
 
1.9%
0 363
97.3%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 363
97.3%
-1 7
 
1.9%

s_30
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:31.597028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:24:31.681054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_300
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:31.769025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:31.853025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_301
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:31.943024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:32.028025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_302
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:32.120025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:32.207024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_305
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09115281501
Minimum-1
Maximum1
Zeros311
Zeros (%)83.4%
Negative14
Negative (%)3.8%
Memory size13.9 KiB
2023-05-30T15:24:32.293024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3979139296
Coefficient of variation (CV)4.365349875
Kurtosis2.709290246
Mean0.09115281501
Median Absolute Deviation (MAD)0
Skewness0.7554368153
Sum34
Variance0.1583354954
MonotonicityNot monotonic
2023-05-30T15:24:32.381025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 311
83.4%
1 48
 
12.9%
-1 14
 
3.8%
ValueCountFrequency (%)
-1 14
 
3.8%
0 311
83.4%
1 48
 
12.9%
ValueCountFrequency (%)
1 48
 
12.9%
0 311
83.4%
-1 14
 
3.8%

s_306
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:32.476026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:24:32.564027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_309
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum-1
Maximum1
Zeros359
Zeros (%)96.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:32.662025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1921294331
Coefficient of variation (CV)7.166427853
Kurtosis23.01372776
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness3.387134115
Sum10
Variance0.03691371905
MonotonicityNot monotonic
2023-05-30T15:24:32.749027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 359
96.2%
1 12
 
3.2%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 359
96.2%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 359
96.2%
-1 2
 
0.5%

s_31
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:32.840027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:32.927026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_310
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:33.013025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:24:33.101025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_311
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:33.190026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:33.275027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_313
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:33.368054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:33.453026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_316
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:33.543025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:24:33.629054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_317
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:33.922052image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:24:34.004339image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_319
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum-1
Maximum1
Zeros359
Zeros (%)96.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:34.094384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1921294331
Coefficient of variation (CV)7.166427853
Kurtosis23.01372776
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness3.387134115
Sum10
Variance0.03691371905
MonotonicityNot monotonic
2023-05-30T15:24:34.176973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 359
96.2%
1 12
 
3.2%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 359
96.2%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 359
96.2%
-1 2
 
0.5%

s_32
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:34.266698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:34.347595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_320
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros357
Zeros (%)95.7%
Negative6
Negative (%)1.6%
Memory size13.9 KiB
2023-05-30T15:24:34.432625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2071121492
Coefficient of variation (CV)19.31320792
Kurtosis20.49252169
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness1.060533528
Sum4
Variance0.04289544236
MonotonicityNot monotonic
2023-05-30T15:24:34.515613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 357
95.7%
1 10
 
2.7%
-1 6
 
1.6%
ValueCountFrequency (%)
-1 6
 
1.6%
0 357
95.7%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 357
95.7%
-1 6
 
1.6%

s_322
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:34.606960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:34.689731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_323
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:34.777734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:24:34.864613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_325
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:34.952426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:35.036046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_328
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:35.121157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:35.207465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_329
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros361
Zeros (%)96.8%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:35.294534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1783166375
Coefficient of variation (CV)8.314013222
Kurtosis27.63468842
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness3.448811458
Sum8
Variance0.0317968232
MonotonicityNot monotonic
2023-05-30T15:24:35.379534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 361
96.8%
1 10
 
2.7%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 361
96.8%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 361
96.8%
-1 2
 
0.5%

s_330
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:35.470534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:35.555419image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_331
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:35.644447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.162543776
Coefficient of variation (CV)7.578603556
Kurtosis33.53307464
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness4.634367912
Sum8
Variance0.02642047911
MonotonicityNot monotonic
2023-05-30T15:24:35.730338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 9
 
2.4%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 363
97.3%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 363
97.3%
-1 1
 
0.3%

s_332
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros364
Zeros (%)97.6%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:35.825369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1549624987
Coefficient of variation (CV)11.5602024
Kurtosis38.38943522
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness3.3699049
Sum5
Variance0.024013376
MonotonicityNot monotonic
2023-05-30T15:24:35.913364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 364
97.6%
1 7
 
1.9%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 364
97.6%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 364
97.6%
-1 2
 
0.5%

s_334
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:36.006666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:36.089760image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_335
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:36.175496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:36.257946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_336
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:36.348409image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:36.436622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_338
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:36.523223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:24:36.606370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_34
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:36.694212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:36.783268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_343
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:36.872066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:36.958038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_345
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:37.043184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:37.127185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_346
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:37.211755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:37.295017image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_35
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:37.378579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:37.461881image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_350
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:37.547195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:37.628901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_351
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:37.714116image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:37.795239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_352
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:37.880811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:37.962847image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_358
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:38.052819image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:38.137083image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_359
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:38.224082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:38.306747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_362
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:38.390915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:38.474586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_369
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.008042895442
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-30T15:24:38.558694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1369391918
Coefficient of variation (CV)-17.02610618
Kurtosis50.62813511
Mean-0.008042895442
Median Absolute Deviation (MAD)0
Skewness-2.980048439
Sum-3
Variance0.01875234224
MonotonicityNot monotonic
2023-05-30T15:24:38.644133image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
-1 5
 
1.3%
1 2
 
0.5%
ValueCountFrequency (%)
-1 5
 
1.3%
0 366
98.1%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 366
98.1%
-1 5
 
1.3%

s_37
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:38.733440image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)-33.48141837
Kurtosis122.7715924
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-3.646749094
Sum-1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:24:38.818155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
-1 2
 
0.5%
1 1
 
0.3%
ValueCountFrequency (%)
-1 2
 
0.5%
0 370
99.2%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 370
99.2%
-1 2
 
0.5%

s_370
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum-1
Maximum1
Zeros361
Zeros (%)96.8%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:38.908068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1775876543
Coefficient of variation (CV)6.624019505
Kurtosis27.13105512
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness4.366818946
Sum10
Variance0.03153737496
MonotonicityNot monotonic
2023-05-30T15:24:38.995459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 361
96.8%
1 11
 
2.9%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 361
96.8%
1 11
 
2.9%
ValueCountFrequency (%)
1 11
 
2.9%
0 361
96.8%
-1 1
 
0.3%

s_371
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:39.083728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:39.166333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_373
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:39.252644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:39.333642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_38
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:39.421237image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:39.507272image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_380
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:39.593243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:39.675244image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_381
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:39.759275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:39.844325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_382
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:39.929293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:40.017293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_383
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:40.103001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:40.187218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_385
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:40.272218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:40.354136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_386
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:40.441223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:40.531437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_388
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:40.617628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:24:40.699016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_389
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:40.968374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:41.052373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_39
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-30T15:24:41.145343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1638685231
Coefficient of variation (CV)30.56147955
Kurtosis34.70575439
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness1.129660136
Sum2
Variance0.02685289285
MonotonicityNot monotonic
2023-05-30T15:24:41.231091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 6
 
1.6%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 363
97.3%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 363
97.3%
-1 4
 
1.1%

s_393
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02412868633
Minimum0
Maximum1
Zeros364
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:41.321252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1536547749
Coefficient of variation (CV)6.368136782
Kurtosis36.97905329
Mean0.02412868633
Median Absolute Deviation (MAD)0
Skewness6.227423235
Sum9
Variance0.02360978985
MonotonicityNot monotonic
2023-05-30T15:24:41.400234image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 364
97.6%
1 9
 
2.4%
ValueCountFrequency (%)
0 364
97.6%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 364
97.6%

s_398
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:41.483120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:41.565429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_400
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:41.648369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:41.730691image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_402
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:41.820661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:41.906386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_404
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:41.989670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:24:42.073684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_407
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:42.159508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:42.241924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_408
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:42.330900image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:24:42.414060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_410
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:42.500525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:42.581759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_415
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:42.667283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:42.748002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_417
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08310991957
Minimum-1
Maximum1
Zeros338
Zeros (%)90.6%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:42.838020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2952290549
Coefficient of variation (CV)3.552272177
Kurtosis6.358284719
Mean0.08310991957
Median Absolute Deviation (MAD)0
Skewness2.384367733
Sum31
Variance0.08716019487
MonotonicityNot monotonic
2023-05-30T15:24:42.926020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 338
90.6%
1 33
 
8.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 338
90.6%
1 33
 
8.8%
ValueCountFrequency (%)
1 33
 
8.8%
0 338
90.6%
-1 2
 
0.5%

s_418
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros357
Zeros (%)95.7%
Negative4
Negative (%)1.1%
Memory size13.9 KiB
2023-05-30T15:24:43.018020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.206275329
Coefficient of variation (CV)9.617587217
Kurtosis20.14938484
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness2.148686015
Sum8
Variance0.04254951137
MonotonicityNot monotonic
2023-05-30T15:24:43.103181image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 357
95.7%
1 12
 
3.2%
-1 4
 
1.1%
ValueCountFrequency (%)
-1 4
 
1.1%
0 357
95.7%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 357
95.7%
-1 4
 
1.1%

s_419
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:43.195210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:43.284079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_420
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:43.373081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:43.459324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_424
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:43.544327image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:43.627210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_425
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:43.712511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:43.798756image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_426
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:43.883865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:43.970883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_427
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:44.060293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:44.140837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_43
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:44.226737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:44.311045image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_430
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:44.401042image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:44.484686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_433
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:44.570293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:24:44.650248image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_435
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:44.733817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:44.817666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_437
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:44.901407image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-30T15:24:44.986725image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_44
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03753351206
Minimum-1
Maximum1
Zeros357
Zeros (%)95.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:45.076072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2039563707
Coefficient of variation (CV)5.433980449
Kurtosis19.12729147
Mean0.03753351206
Median Absolute Deviation (MAD)0
Skewness3.898385782
Sum14
Variance0.04159820116
MonotonicityNot monotonic
2023-05-30T15:24:45.160687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 357
95.7%
1 15
 
4.0%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 357
95.7%
1 15
 
4.0%
ValueCountFrequency (%)
1 15
 
4.0%
0 357
95.7%
-1 1
 
0.3%

s_47
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:45.249055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1265453355
Coefficient of variation (CV)11.80035253
Kurtosis59.11050739
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness5.078529873
Sum4
Variance0.01601372193
MonotonicityNot monotonic
2023-05-30T15:24:45.333883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 5
 
1.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 367
98.4%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 367
98.4%
-1 1
 
0.3%

s_471
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:45.421855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:45.508595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_474
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros360
Zeros (%)96.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:45.592772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1845919884
Coefficient of variation (CV)6.259346517
Kurtosis24.66832794
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness4.240592638
Sum11
Variance0.0340742022
MonotonicityNot monotonic
2023-05-30T15:24:45.677772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 360
96.5%
1 12
 
3.2%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 360
96.5%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 360
96.5%
-1 1
 
0.3%

s_478
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:45.767886image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:45.852714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_48
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:45.938029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:46.018029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_480
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:46.103000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:46.195668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_483
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:46.292945image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:24:46.373415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_484
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:46.457355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:46.544356image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_485
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:46.633354image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:46.716563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_486
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:46.799909image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:46.881820image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_487
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:46.967209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:47.054217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_488
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros352
Zeros (%)94.4%
Negative5
Negative (%)1.3%
Memory size13.9 KiB
2023-05-30T15:24:47.139218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2357532153
Coefficient of variation (CV)7.994177211
Kurtosis14.4959325
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness1.889611978
Sum11
Variance0.05557957854
MonotonicityNot monotonic
2023-05-30T15:24:47.224991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 352
94.4%
1 16
 
4.3%
-1 5
 
1.3%
ValueCountFrequency (%)
-1 5
 
1.3%
0 352
94.4%
1 16
 
4.3%
ValueCountFrequency (%)
1 16
 
4.3%
0 352
94.4%
-1 5
 
1.3%

s_489
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:47.313527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:47.394636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_492
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros361
Zeros (%)96.8%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:47.478535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1783166375
Coefficient of variation (CV)8.314013222
Kurtosis27.63468842
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness3.448811458
Sum8
Variance0.0317968232
MonotonicityNot monotonic
2023-05-30T15:24:47.561717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 361
96.8%
1 10
 
2.7%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 361
96.8%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 361
96.8%
-1 2
 
0.5%

s_493
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros361
Zeros (%)96.8%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:47.657323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1783166375
Coefficient of variation (CV)8.314013222
Kurtosis27.63468842
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness3.448811458
Sum8
Variance0.0317968232
MonotonicityNot monotonic
2023-05-30T15:24:47.742041image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 361
96.8%
1 10
 
2.7%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 361
96.8%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 361
96.8%
-1 2
 
0.5%

s_50
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros352
Zeros (%)94.4%
Negative7
Negative (%)1.9%
Memory size13.9 KiB
2023-05-30T15:24:47.845447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2368511664
Coefficient of variation (CV)12.62078358
Kurtosis14.787586
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness1.184361341
Sum7
Variance0.05609847502
MonotonicityNot monotonic
2023-05-30T15:24:47.929448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 352
94.4%
1 14
 
3.8%
-1 7
 
1.9%
ValueCountFrequency (%)
-1 7
 
1.9%
0 352
94.4%
1 14
 
3.8%
ValueCountFrequency (%)
1 14
 
3.8%
0 352
94.4%
-1 7
 
1.9%

s_503
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:48.206673image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:48.287676image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_505
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:48.369955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:48.451292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_509
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:48.540852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:48.629855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_51
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:48.717852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:48.799851image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_510
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:48.882703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:48.970028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_518
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:49.060474image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:24:49.145672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_52
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:49.234813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-30T15:24:49.321044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_525
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:49.408581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:49.491876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_526
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:49.575874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:49.660036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_528
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:49.745583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:49.828748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_529
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:49.919619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:50.001400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_53
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:50.086466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-30T15:24:50.171246image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_530
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:50.256281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:50.338280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_531
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:50.422792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:50.503793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_532
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:50.587821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:50.670137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_533
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02949061662
Minimum-1
Maximum1
Zeros358
Zeros (%)96.0%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:50.756137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1986216158
Coefficient of variation (CV)6.735078428
Kurtosis21.16365419
Mean0.02949061662
Median Absolute Deviation (MAD)0
Skewness3.342938184
Sum11
Variance0.03945054628
MonotonicityNot monotonic
2023-05-30T15:24:50.841139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 358
96.0%
1 13
 
3.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 358
96.0%
1 13
 
3.5%
ValueCountFrequency (%)
1 13
 
3.5%
0 358
96.0%
-1 2
 
0.5%

s_534
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:24:50.929133image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1371495439
Coefficient of variation (CV)51.15677989
Kurtosis50.94353186
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness0.9886653781
Sum1
Variance0.01880999741
MonotonicityNot monotonic
2023-05-30T15:24:51.014116image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 4
 
1.1%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 366
98.1%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 366
98.1%
-1 3
 
0.8%

s_538
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:51.103155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:51.185122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_539
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:51.268336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:51.352697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_54
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:51.434998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:51.517924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_540
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07774798928
Minimum0
Maximum1
Zeros344
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:51.603359image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2681342762
Coefficient of variation (CV)3.448761553
Kurtosis8.070188278
Mean0.07774798928
Median Absolute Deviation (MAD)0
Skewness3.166535125
Sum29
Variance0.07189599008
MonotonicityNot monotonic
2023-05-30T15:24:51.683619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 344
92.2%
1 29
 
7.8%
ValueCountFrequency (%)
0 344
92.2%
1 29
 
7.8%
ValueCountFrequency (%)
1 29
 
7.8%
0 344
92.2%

s_542
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:51.772284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-30T15:24:51.851780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_543
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:24:51.937114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1636044318
Coefficient of variation (CV)15.25611326
Kurtosis34.47894408
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness2.270704821
Sum4
Variance0.0267664101
MonotonicityNot monotonic
2023-05-30T15:24:52.020820image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 7
 
1.9%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 363
97.3%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 363
97.3%
-1 3
 
0.8%

s_545
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:52.109268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:52.192297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_55
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:52.275920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:24:52.362066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_550
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:52.451072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:52.533071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_551
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:52.617833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.136517515
Coefficient of variation (CV)10.18420662
Kurtosis49.98232341
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness5.014135328
Sum5
Variance0.01863703191
MonotonicityNot monotonic
2023-05-30T15:24:52.701600image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 6
 
1.6%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 366
98.1%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 366
98.1%
-1 1
 
0.3%

s_553
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:52.789004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:24:52.871011image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_554
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:52.954869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:53.035730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_555
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:53.121045image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:53.202863image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_556
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:53.288145image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:24:53.370170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_557
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:53.454459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:53.536455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_558
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:53.619946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:24:53.702948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_56
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:53.786507image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:53.868953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_561
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:53.952843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:54.035177image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_562
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:54.125211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:54.208969image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_563
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:54.300024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:54.387234image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_567
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:54.474205image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:54.555584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_568
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:54.640672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:54.721513image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_57
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:54.806453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:54.887483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_571
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:54.971053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:55.241089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_575
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:55.325304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:55.406497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_578
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:55.491418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:55.572453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_579
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:55.658665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1159036381
Coefficient of variation (CV)43.232057
Kurtosis72.50746401
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness1.666024859
Sum1
Variance0.01343365332
MonotonicityNot monotonic
2023-05-30T15:24:55.747130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 3
 
0.8%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 368
98.7%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 368
98.7%
-1 2
 
0.5%

s_580
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01340482574
Minimum0
Maximum1
Zeros368
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:55.834428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1151550599
Coefficient of variation (CV)8.59056747
Kurtosis70.57209242
Mean0.01340482574
Median Absolute Deviation (MAD)0
Skewness8.496688364
Sum5
Variance0.01326068783
MonotonicityNot monotonic
2023-05-30T15:24:55.919903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
0 368
98.7%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 368
98.7%

s_581
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:56.004260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:56.087001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_582
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:56.174838image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:56.259370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_583
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:56.344669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:24:56.430103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_59
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum-1
Maximum1
Zeros368
Zeros (%)98.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:56.520110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1156546504
Coefficient of variation (CV)14.3797282
Kurtosis71.87633463
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness5.031027246
Sum3
Variance0.01337599816
MonotonicityNot monotonic
2023-05-30T15:24:56.607110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 368
98.7%
1 4
 
1.1%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 368
98.7%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 368
98.7%
-1 1
 
0.3%

s_593
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:56.701109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:56.784174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_594
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:56.870148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.162543776
Coefficient of variation (CV)7.578603556
Kurtosis33.53307464
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness4.634367912
Sum8
Variance0.02642047911
MonotonicityNot monotonic
2023-05-30T15:24:56.954092image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 9
 
2.4%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 363
97.3%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 363
97.3%
-1 1
 
0.3%

s_598
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:57.043683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:24:57.129029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_60
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:57.218028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:57.298629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_603
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:57.383659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:57.469611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_605
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:57.553470image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:57.639327image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_606
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005361930295
Minimum-1
Maximum0
Zeros371
Zeros (%)99.5%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:24:57.724438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)-13.63813242
Kurtosis183.9783931
Mean-0.005361930295
Median Absolute Deviation (MAD)0
Skewness-13.60117379
Sum-2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:57.808880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 371
99.5%
ValueCountFrequency (%)
0 371
99.5%
-1 2
 
0.5%

s_607
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:57.892608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:57.978946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_608
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:58.063739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:58.146736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_609
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:58.233732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:58.315100image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_610
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:58.402421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:24:58.483421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_611
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:58.568421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:58.650450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_612
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:58.734655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:58.818828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_614
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:58.902792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:58.991080image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_616
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum0
Maximum1
Zeros363
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:59.079086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1617437197
Coefficient of variation (CV)6.033040746
Kurtosis32.7813734
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness5.882654865
Sum10
Variance0.02616103087
MonotonicityNot monotonic
2023-05-30T15:24:59.162421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 363
97.3%
1 10
 
2.7%
ValueCountFrequency (%)
0 363
97.3%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 363
97.3%

s_622
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:24:59.247422image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:24:59.333793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
-1 1
 
0.3%
1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_623
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:59.423792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:59.511263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_630
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:59.594654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:24:59.675636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_631
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:59.760454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-30T15:24:59.841891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_64
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:24:59.927107image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:00.007232image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_640
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:00.092762image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:00.174729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_642
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros366
Zeros (%)98.1%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:25:00.263692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1371495439
Coefficient of variation (CV)51.15677989
Kurtosis50.94353186
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness0.9886653781
Sum1
Variance0.01880999741
MonotonicityNot monotonic
2023-05-30T15:25:00.348864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 366
98.1%
1 4
 
1.1%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 366
98.1%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 366
98.1%
-1 3
 
0.8%

s_646
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:00.437864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:25:00.522357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_65
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:00.609983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:25:00.694020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_650
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:25:00.778059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1465487931
Coefficient of variation (CV)27.33134991
Kurtosis44.11279114
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness1.607009793
Sum2
Variance0.02147654876
MonotonicityNot monotonic
2023-05-30T15:25:00.862625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
1 5
 
1.3%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 365
97.9%
1 5
 
1.3%
ValueCountFrequency (%)
1 5
 
1.3%
0 365
97.9%
-1 3
 
0.8%

s_651
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:00.949479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:25:01.034554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_659
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:01.118555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:25:01.205556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_660
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:01.296332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:25:01.382814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_663
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:01.469019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:01.549093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_665
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:01.632953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:01.712534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_67
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:01.796154image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:25:01.881895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_670
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:01.969896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:02.245929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_671
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:02.328254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:25:02.410253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_672
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:02.493291image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:25:02.574320image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_673
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:02.656047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:02.737254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_68
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum-1
Maximum1
Zeros365
Zeros (%)97.9%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:02.820881image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1457598302
Coefficient of variation (CV)9.061402778
Kurtosis43.13116301
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness4.902147849
Sum6
Variance0.0212459281
MonotonicityNot monotonic
2023-05-30T15:25:02.908921image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 365
97.9%
1 7
 
1.9%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 365
97.9%
1 7
 
1.9%
ValueCountFrequency (%)
1 7
 
1.9%
0 365
97.9%
-1 1
 
0.3%

s_690
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:02.996442image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:25:03.078448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_691
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:03.163400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:03.244564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_694
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:03.329737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:25:03.412054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_697
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:25:03.497050image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)-33.48141837
Kurtosis122.7715924
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-3.646749094
Sum-1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:25:03.580664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
-1 2
 
0.5%
1 1
 
0.3%
ValueCountFrequency (%)
-1 2
 
0.5%
0 370
99.2%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 370
99.2%
-1 2
 
0.5%

s_698
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:03.669245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:03.749605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_700
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0509383378
Minimum-1
Maximum1
Zeros350
Zeros (%)93.8%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:25:03.835786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.243364475
Coefficient of variation (CV)4.777628904
Kurtosis12.14632389
Mean0.0509383378
Median Absolute Deviation (MAD)0
Skewness2.922101523
Sum19
Variance0.05922626769
MonotonicityNot monotonic
2023-05-30T15:25:03.917368image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 350
93.8%
1 21
 
5.6%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 350
93.8%
1 21
 
5.6%
ValueCountFrequency (%)
1 21
 
5.6%
0 350
93.8%
-1 2
 
0.5%

s_706
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:04.005722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:04.092184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_71
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros367
Zeros (%)98.4%
Negative3
Negative (%)0.8%
Memory size13.9 KiB
2023-05-30T15:25:04.176458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.127000127
Coefficient of variation (CV)nan
Kurtosis59.98376921
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.01612903226
MonotonicityNot monotonic
2023-05-30T15:25:04.261744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 367
98.4%
1 3
 
0.8%
-1 3
 
0.8%
ValueCountFrequency (%)
-1 3
 
0.8%
0 367
98.4%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 367
98.4%
-1 3
 
0.8%

s_715
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:04.349779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:04.433779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_716
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:04.516288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:25:04.598188image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_717
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:04.682090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:04.763446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_72
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:04.847816image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.162543776
Coefficient of variation (CV)7.578603556
Kurtosis33.53307464
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness4.634367912
Sum8
Variance0.02642047911
MonotonicityNot monotonic
2023-05-30T15:25:04.932950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 9
 
2.4%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 363
97.3%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 363
97.3%
-1 1
 
0.3%

s_721
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:05.022412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:05.108243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_743
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:05.195307image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:05.284193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_75
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008042895442
Minimum0
Maximum1
Zeros370
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:05.375099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08944078527
Coefficient of variation (CV)11.12047097
Kurtosis120.9730317
Mean0.008042895442
Median Absolute Deviation (MAD)0
Skewness11.06003627
Sum3
Variance0.007999654069
MonotonicityNot monotonic
2023-05-30T15:25:05.463099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
0 370
99.2%
1 3
 
0.8%
ValueCountFrequency (%)
1 3
 
0.8%
0 370
99.2%

s_750
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:05.549599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:25:05.631628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_762
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:05.719849image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:05.803767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_763
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:05.887906image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:25:05.969942image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_766
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:06.055063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:06.137603image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_776
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:06.220901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:06.304618image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_777
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:06.388862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:25:06.471987image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_790
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:06.556992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:06.638005image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_791
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002680965147
Minimum-1
Maximum0
Zeros372
Zeros (%)99.7%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:06.723332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)-19.31320792
Kurtosis373
Mean-0.002680965147
Median Absolute Deviation (MAD)0
Skewness-19.31320792
Sum-1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:06.804357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 372
99.7%
ValueCountFrequency (%)
0 372
99.7%
-1 1
 
0.3%

s_793
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:06.889798image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:06.974098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_799
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:07.059302image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:25:07.142303image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_8
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03753351206
Minimum-1
Maximum1
Zeros347
Zeros (%)93.0%
Negative6
Negative (%)1.6%
Memory size13.9 KiB
2023-05-30T15:25:07.226515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2616866859
Coefficient of variation (CV)6.972080989
Kurtosis11.02430665
Mean0.03753351206
Median Absolute Deviation (MAD)0
Skewness1.67584075
Sum14
Variance0.06847992159
MonotonicityNot monotonic
2023-05-30T15:25:07.319145image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 347
93.0%
1 20
 
5.4%
-1 6
 
1.6%
ValueCountFrequency (%)
-1 6
 
1.6%
0 347
93.0%
1 20
 
5.4%
ValueCountFrequency (%)
1 20
 
5.4%
0 347
93.0%
-1 6
 
1.6%

s_801
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:07.407085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:07.491114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_81
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum-1
Maximum1
Zeros363
Zeros (%)97.3%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:07.575237image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.162543776
Coefficient of variation (CV)7.578603556
Kurtosis33.53307464
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness4.634367912
Sum8
Variance0.02642047911
MonotonicityNot monotonic
2023-05-30T15:25:07.663273image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 363
97.3%
1 9
 
2.4%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 363
97.3%
1 9
 
2.4%
ValueCountFrequency (%)
1 9
 
2.4%
0 363
97.3%
-1 1
 
0.3%

s_830
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:07.751686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:07.834008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_84
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:07.916954image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:08.001061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_842
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:08.085066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:08.166064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_85
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:08.250642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:08.334650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_857
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:08.421827image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:25:08.504798image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_87
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:08.587798image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:08.669930image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_88
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0509383378
Minimum-1
Maximum1
Zeros342
Zeros (%)91.7%
Negative6
Negative (%)1.6%
Memory size13.9 KiB
2023-05-30T15:25:08.754178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2841331449
Coefficient of variation (CV)5.577982266
Kurtosis8.545901582
Mean0.0509383378
Median Absolute Deviation (MAD)0
Skewness1.69208066
Sum19
Variance0.08073164404
MonotonicityNot monotonic
2023-05-30T15:25:08.839015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 342
91.7%
1 25
 
6.7%
-1 6
 
1.6%
ValueCountFrequency (%)
-1 6
 
1.6%
0 342
91.7%
1 25
 
6.7%
ValueCountFrequency (%)
1 25
 
6.7%
0 342
91.7%
-1 6
 
1.6%

s_9
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02680965147
Minimum-1
Maximum1
Zeros359
Zeros (%)96.2%
Negative2
Negative (%)0.5%
Memory size13.9 KiB
2023-05-30T15:25:08.927197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1921294331
Coefficient of variation (CV)7.166427853
Kurtosis23.01372776
Mean0.02680965147
Median Absolute Deviation (MAD)0
Skewness3.387134115
Sum10
Variance0.03691371905
MonotonicityNot monotonic
2023-05-30T15:25:09.207214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 359
96.2%
1 12
 
3.2%
-1 2
 
0.5%
ValueCountFrequency (%)
-1 2
 
0.5%
0 359
96.2%
1 12
 
3.2%
ValueCountFrequency (%)
1 12
 
3.2%
0 359
96.2%
-1 2
 
0.5%

s_90
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum-1
Maximum1
Zeros370
Zeros (%)99.2%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:09.295487image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08976251575
Coefficient of variation (CV)33.48141837
Kurtosis122.7715924
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness3.646749094
Sum1
Variance0.008057309233
MonotonicityNot monotonic
2023-05-30T15:25:09.379939image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 370
99.2%
1 2
 
0.5%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 370
99.2%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 370
99.2%
-1 1
 
0.3%

s_917
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072386059
Minimum0
Maximum1
Zeros369
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:09.468832image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031376645
Coefficient of variation (CV)9.617587217
Kurtosis89.47174301
Mean0.01072386059
Median Absolute Deviation (MAD)0
Skewness9.538973932
Sum4
Variance0.01063737784
MonotonicityNot monotonic
2023-05-30T15:25:09.550834image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
0 369
98.9%
1 4
 
1.1%
ValueCountFrequency (%)
1 4
 
1.1%
0 369
98.9%

s_92
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02412868633
Minimum-1
Maximum1
Zeros362
Zeros (%)97.1%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:09.634161image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1702531466
Coefficient of variation (CV)7.056047076
Kurtosis30.04131012
Mean0.02412868633
Median Absolute Deviation (MAD)0
Skewness4.498560332
Sum9
Variance0.02898613393
MonotonicityNot monotonic
2023-05-30T15:25:09.719897image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 362
97.1%
1 10
 
2.7%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 362
97.1%
1 10
 
2.7%
ValueCountFrequency (%)
1 10
 
2.7%
0 362
97.1%
-1 1
 
0.3%

s_936
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1
Maximum1
Zeros371
Zeros (%)99.5%
Negative1
Negative (%)0.3%
Memory size13.9 KiB
2023-05-30T15:25:09.808790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07332355751
Coefficient of variation (CV)nan
Kurtosis186
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0.005376344086
MonotonicityNot monotonic
2023-05-30T15:25:09.892902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 371
99.5%
1 1
 
0.3%
-1 1
 
0.3%
ValueCountFrequency (%)
-1 1
 
0.3%
0 371
99.5%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 371
99.5%
-1 1
 
0.3%

s_959
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002680965147
Minimum0
Maximum1
Zeros372
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:09.981182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05177803731
Coefficient of variation (CV)19.31320792
Kurtosis373
Mean0.002680965147
Median Absolute Deviation (MAD)0
Skewness19.31320792
Sum1
Variance0.002680965147
MonotonicityNot monotonic
2023-05-30T15:25:10.064192image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 372
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 372
99.7%

s_962
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02144772118
Minimum0
Maximum1
Zeros365
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:10.147499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1450659679
Coefficient of variation (CV)6.763700751
Kurtosis42.2268841
Mean0.02144772118
Median Absolute Deviation (MAD)0
Skewness6.633286671
Sum8
Variance0.02104413503
MonotonicityNot monotonic
2023-05-30T15:25:10.227763image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
0 365
97.9%
1 8
 
2.1%
ValueCountFrequency (%)
1 8
 
2.1%
0 365
97.9%

s_965
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005361930295
Minimum0
Maximum1
Zeros371
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:10.316738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07312671539
Coefficient of variation (CV)13.63813242
Kurtosis183.9783931
Mean0.005361930295
Median Absolute Deviation (MAD)0
Skewness13.60117379
Sum2
Variance0.005347516504
MonotonicityNot monotonic
2023-05-30T15:25:10.398481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
0 371
99.5%
1 2
 
0.5%
ValueCountFrequency (%)
1 2
 
0.5%
0 371
99.5%

s_967
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01608579088
Minimum0
Maximum1
Zeros367
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:10.485901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259745372
Coefficient of variation (CV)7.831417061
Kurtosis57.97326854
Mean0.01608579088
Median Absolute Deviation (MAD)0
Skewness7.724146831
Sum6
Variance0.01586958402
MonotonicityNot monotonic
2023-05-30T15:25:10.567439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
0 367
98.4%
1 6
 
1.6%
ValueCountFrequency (%)
1 6
 
1.6%
0 367
98.4%

s_98
Real number (ℝ)

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01876675603
Minimum-1
Maximum1
Zeros282
Zeros (%)75.6%
Negative42
Negative (%)11.3%
Memory size13.9 KiB
2023-05-30T15:25:10.656079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4942373094
Coefficient of variation (CV)26.33578806
Kurtosis1.12679503
Mean0.01876675603
Median Absolute Deviation (MAD)0
Skewness0.04212250164
Sum7
Variance0.244270518
MonotonicityNot monotonic
2023-05-30T15:25:10.740036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 282
75.6%
1 49
 
13.1%
-1 42
 
11.3%
ValueCountFrequency (%)
-1 42
 
11.3%
0 282
75.6%
1 49
 
13.1%
ValueCountFrequency (%)
1 49
 
13.1%
0 282
75.6%
-1 42
 
11.3%

s_99
Real number (ℝ)

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05361930295
Minimum0
Maximum1
Zeros353
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size13.9 KiB
2023-05-30T15:25:10.830043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.225567468
Coefficient of variation (CV)4.206833279
Kurtosis13.9084418
Mean0.05361930295
Median Absolute Deviation (MAD)0
Skewness3.979182512
Sum20
Variance0.05088068264
MonotonicityNot monotonic
2023-05-30T15:25:10.913042image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 353
94.6%
1 20
 
5.4%
ValueCountFrequency (%)
0 353
94.6%
1 20
 
5.4%
ValueCountFrequency (%)
1 20
 
5.4%
0 353
94.6%